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(2024)","points":197,"comments":104,"url":"https://edw.is/learning-vulkan/","discussion":"https://news.ycombinator.com/item?id=46010329"}],"research":[{"title":"Less is More: Data-Efficient Adaptation for Controllable Text-to-Video Generation","abstract":"Fine-tuning large-scale text-to-video diffusion models to add new generative controls, such as those over physical camera parameters (e.g., shutter speed or aperture), typically requires vast, high-fidelity datasets that are difficult to acquire. In this work, we propose a data-efficient fine-tuning strategy that learns these controls from sparse, low-quality synthetic data. We show that not only does fine-tuning on ","authors":["Shihan Cheng","Nilesh Kulkarni","David Hyde","Dmitriy Smirnov"],"url":"http://arxiv.org/abs/2511.17844v4","arxiv_id":"2511.17844v4","published":"2025-11-21T23:41:19Z"},{"title":"EduMod-LLM: A Modular Approach for Designing Flexible and Transparent Educational Assistants","abstract":"With the growing use of Large Language Model (LLM)-based Question-Answering (QA) systems in education, it is critical to evaluate their performance across individual pipeline components. In this work, we introduce {\\model}, a modular function-calling LLM pipeline, and present a comprehensive evaluation along three key axes: function calling strategies, retrieval methods, and generative language models. Our framework ","authors":["Meenakshi Mittal","Rishi Khare","Mihran Miroyan","Chancharik Mitra","Narges Norouzi"],"url":"http://arxiv.org/abs/2511.21742v1","arxiv_id":"2511.21742v1","published":"2025-11-21T23:05:46Z"},{"title":"Learning to Debug: LLM-Organized Knowledge Trees for Solving RTL Assertion Failures","abstract":"Debugging is the dominant cost in modern hardware verification, where assertion failures are among the most frequent and expensive to resolve. While Large Language Models (LLMs) show promise, they often fail to capture the precise, reusable expertise that engineers apply, leading to inaccurate responses. We propose GROVE, a hierarchical knowledge management framework that learns and organizes reusable debugging exper","authors":["Yunsheng Bai","Haoxing Ren"],"url":"http://arxiv.org/abs/2511.17833v2","arxiv_id":"2511.17833v2","published":"2025-11-21T22:57:45Z"},{"title":"Unified Class and Domain Incremental Learning with Mixture of Experts for Indoor Localization","abstract":"Indoor localization using machine learning has gained traction due to the growing demand for location-based services. However, its long-term reliability is hindered by hardware/software variations across mobile devices, which shift the model's input distribution to create domain shifts. Further, evolving indoor environments can introduce new locations over time, expanding the output space to create class shifts, maki","authors":["Akhil Singampalli","Sudeep Pasricha"],"url":"http://arxiv.org/abs/2511.17829v1","arxiv_id":"2511.17829v1","published":"2025-11-21T22:47:50Z"},{"title":"Toward explainable AI approaches for breast imaging: adapting foundation models to diverse populations","abstract":"Foundation models hold promise for specialized medical imaging tasks, though their effectiveness in breast imaging remains underexplored. This study leverages BiomedCLIP as a foundation model to address challenges in model generalization. BiomedCLIP was adapted for automated BI-RADS breast density classification using multi-modality mammographic data (synthesized 2D images, digital mammography, and digital breast tom","authors":["Guilherme J. Cavalcante","José Gabriel A. Moreira","Gabriel A. B. do Nascimento","Vincent Dong","Alex Nguyen","Thaís G. do Rêgo"],"url":"http://arxiv.org/abs/2511.17828v1","arxiv_id":"2511.17828v1","published":"2025-11-21T22:45:50Z"},{"title":"APRIL: Annotations for Policy evaluation with Reliable Inference from LLMs","abstract":"Off-policy evaluation (OPE) estimates the value of a contextual bandit policy prior to deployment. As such, OPE plays a critical role in ensuring safety in high-stakes domains such as healthcare. However, standard OPE approaches are limited by the size and coverage of the behavior dataset. While previous work has explored using expert-labeled counterfactual annotations to enhance dataset coverage, obtaining such anno","authors":["Aishwarya Mandyam","Kalyani Limaye","Barbara E. Engelhardt","Emily Alsentzer"],"url":"http://arxiv.org/abs/2511.17818v1","arxiv_id":"2511.17818v1","published":"2025-11-21T22:18:15Z"},{"title":"Point of Order: Action-Aware LLM Persona Modeling for Data-Grounded Civic Deliberation","abstract":"LLM-based simulations can enable controlled studies of civic deliberation, but current systems lack speaker-attributed data and methods for evaluating long-form institutional behavior. ASR transcripts typically use anonymous labels such as $Speaker\\_1$, preventing models from learning stable participant behavior across meetings. We present a reproducible pipeline that converts public Zoom recordings into speaker-attr","authors":["Scott Merrill","Shashank Srivastava"],"url":"http://arxiv.org/abs/2511.17813v3","arxiv_id":"2511.17813v3","published":"2025-11-21T22:07:33Z"},{"title":"Score-Regularized Joint Sampling with Importance Weights for Flow Matching","abstract":"Flow matching models effectively represent complex distributions, yet estimating expectations of functions of their outputs remains challenging under limited sampling budgets. Independent sampling often yields high-variance estimates, especially when rare but high-impact outcomes dominate the expectation. We propose a non-IID sampling framework that jointly draws multiple samples to cover diverse, salient regions of ","authors":["Xinshuang Liu","Runfa Blark Li","Shaoxiu Wei","Truong Nguyen"],"url":"http://arxiv.org/abs/2511.17812v3","arxiv_id":"2511.17812v3","published":"2025-11-21T22:05:56Z"},{"title":"REXO: Indoor Multi-View Radar Object Detection via 3D Bounding Box Diffusion","abstract":"Multi-view indoor radar perception has drawn attention due to its cost-effectiveness and low privacy risks. Existing methods often rely on {implicit} cross-view radar feature association, such as proposal pairing in RFMask or query-to-feature cross-attention in RETR, which can lead to ambiguous feature matches and degraded detection in complex indoor scenes. To address these limitations, we propose \\textbf{REXO} (mul","authors":["Ryoma Yataka","Pu Perry Wang","Petros Boufounos","Ryuhei Takahashi"],"url":"http://arxiv.org/abs/2511.17806v2","arxiv_id":"2511.17806v2","published":"2025-11-21T21:59:24Z"},{"title":"A Stitch in Time: Learning Procedural Workflow via Self-Supervised Plackett-Luce Ranking","abstract":"Procedural activities, ranging from routine cooking to complex surgical operations, are highly structured sequences of actions performed in a specific temporal order. Despite the success of current self-supervised learning (SSL) methods on static images and short clips, these models often overlook the underlying sequential structure of such activities. We expose this lack of procedural awareness with a motivating exp","authors":["Chengan Che","Chao Wang","Xinyue Chen","Sophia Tsoka","Luis C. Garcia-Peraza-Herrera"],"url":"http://arxiv.org/abs/2511.17805v2","arxiv_id":"2511.17805v2","published":"2025-11-21T21:59:22Z"},{"title":"Pillar-0: A New Frontier for Radiology Foundation Models","abstract":"Radiology plays an integral role in modern medicine, yet rising imaging volumes have far outpaced workforce growth. Foundation models offer a path toward assisting with the full spectrum of radiology tasks, but existing medical models remain limited: they process volumetric CT and MRI as low-fidelity 2D slices, discard critical grayscale contrast information, and lack evaluation frameworks that reflect real clinical ","authors":["Kumar Krishna Agrawal","Longchao Liu","Long Lian","Michael Nercessian","Natalia Harguindeguy","Yufu Wu"],"url":"http://arxiv.org/abs/2511.17803v1","arxiv_id":"2511.17803v1","published":"2025-11-21T21:50:34Z"},{"title":"MultiGA: Leveraging Multi-Source Seeding in Genetic Algorithms","abstract":"In this paper, we introduce, MultiGA, an optimization framework which applies genetic algorithm principles to address complex natural language tasks and reasoning problems by sampling from a diverse population of LLMs to initialize the population of candidate solutions. MultiGA generates a range of outputs from various parent LLMs and uses a neutral fitness function to evaluate them. Through an iterative recombinatio","authors":["Isabelle Diana May-Xin Ng","Tharindu Cyril Weerasooriya","Haitao Zhu","Wei Wei"],"url":"http://arxiv.org/abs/2512.04097v2","arxiv_id":"2512.04097v2","published":"2025-11-21T21:47:33Z"},{"title":"A cross-species neural foundation model for end-to-end speech decoding","abstract":"Speech brain-computer interfaces (BCIs) aim to restore communication for people with paralysis by translating neural activity into text. Most systems use cascaded frameworks that decode phonemes before assembling sentences with an n-gram language model (LM), preventing joint optimization of all stages simultaneously. Here, we introduce an end-to-end BraIn-to-Text (BIT) framework that translates neural activity into c","authors":["Yizi Zhang","Linyang He","Chaofei Fan","Tingkai Liu","Han Yu","Trung Le"],"url":"http://arxiv.org/abs/2511.21740v5","arxiv_id":"2511.21740v5","published":"2025-11-21T21:25:54Z"},{"title":"Episodic Memory in Agentic Frameworks: Suggesting Next Tasks","abstract":"Agentic frameworks powered by Large Language Models (LLMs) can be useful tools in scientific workflows by enabling human-AI co-creation. A key challenge is recommending the next steps during workflow creation without relying solely on LLMs, which risk hallucination and require fine-tuning with scarce proprietary data. We propose an episodic memory architecture that stores and retrieves past workflows to guide agents ","authors":["Sandro Rama Fiorini","Leonardo G. Azevedo","Raphael M. Thiago","Valesca M. de Sousa","Anton B. Labate","Viviane Torres da Silva"],"url":"http://arxiv.org/abs/2511.17775v1","arxiv_id":"2511.17775v1","published":"2025-11-21T20:47:41Z"},{"title":"$Δ$-ML Ensembles for Selecting Quantum Chemistry Methods to Compute Intermolecular Interactions","abstract":"Ab initio quantum chemical methods for accurately computing interactions between molecules have a wide range of applications but are often computationally expensive. Hence, selecting an appropriate method based on accuracy and computational cost remains a significant challenge due to varying performance of methods. In this work, we propose a framework based on an ensemble of $Δ$-ML models trained on features extracte","authors":["Austin M. Wallace","C. David Sherrill","Giri P. Krishnan"],"url":"http://arxiv.org/abs/2511.17753v1","arxiv_id":"2511.17753v1","published":"2025-11-21T20:10:29Z"},{"title":"SG-OIF: A Stability-Guided Online Influence Framework for Reliable Vision Data","abstract":"Approximating training-point influence on test predictions is critical for deploying deep-learning vision models, essential for locating noisy data. Though the influence function was proposed for attributing how infinitesimal up-weighting or removal of individual training examples affects model outputs, its implementation is still challenging in deep-learning vision models: inverse-curvature computations are expensiv","authors":["Penghao Rao","Runmin Jiang","Min Xu"],"url":"http://arxiv.org/abs/2511.19466v1","arxiv_id":"2511.19466v1","published":"2025-11-21T19:58:54Z"},{"title":"Hidden markov model to predict tourists visited place","abstract":"Nowadays, social networks are becoming a popular way of analyzing tourist behavior, thanks to the digital traces left by travelers during their stays on these networks. The massive amount of data generated; by the propensity of tourists to share comments and photos during their trip; makes it possible to model their journeys and analyze their behavior. Predicting the next movement of tourists plays a key role in tour","authors":["Theo Demessance","Chongke Bi","Sonia Djebali","Guillaume Guerard"],"url":"http://arxiv.org/abs/2511.19465v1","arxiv_id":"2511.19465v1","published":"2025-11-21T19:58:17Z"},{"title":"AEGIS: Preserving privacy of 3D Facial Avatars with Adversarial Perturbations","abstract":"The growing adoption of photorealistic 3D facial avatars, particularly those utilizing efficient 3D Gaussian Splatting representations, introduces new risks of online identity theft, especially in systems that rely on biometric authentication. While effective adversarial masking methods have been developed for 2D images, a significant gap remains in achieving robust, viewpoint-consistent identity protection for dynam","authors":["Dawid Wolkiewicz","Anastasiya Pechko","Przemysław Spurek","Piotr Syga"],"url":"http://arxiv.org/abs/2511.17747v1","arxiv_id":"2511.17747v1","published":"2025-11-21T19:57:28Z"},{"title":"AI- and Ontology-Based Enhancements to FMEA for Advanced Systems Engineering: Current Developments and Future Directions","abstract":"This article presents a state-of-the-art review of recent advances aimed at transforming traditional Failure Mode and Effects Analysis (FMEA) into a more intelligent, data-driven, and semantically enriched process. As engineered systems grow in complexity, conventional FMEA methods, largely manual, document-centric, and expert-dependent, have become increasingly inadequate for addressing the demands of modern systems","authors":["Haytham Younus","Sohag Kabir","Felician Campean","Pascal Bonnaud","David Delaux"],"url":"http://arxiv.org/abs/2511.17743v1","arxiv_id":"2511.17743v1","published":"2025-11-21T19:51:06Z"},{"title":"Temperature in SLMs: Impact on Incident Categorization in On-Premises Environments","abstract":"SOCs and CSIRTs face increasing pressure to automate incident categorization, yet the use of cloud-based LLMs introduces costs, latency, and confidentiality risks. We investigate whether locally executed SLMs can meet this challenge. We evaluated 21 models ranging from 1B to 20B parameters, varying the temperature hyperparameter and measuring execution time and precision across two distinct architectures. The results","authors":["Marcio Pohlmann","Alex Severo","Gefté Almeida","Diego Kreutz","Tiago Heinrich","Lourenço Pereira"],"url":"http://arxiv.org/abs/2511.19464v1","arxiv_id":"2511.19464v1","published":"2025-11-21T19:37:09Z"},{"title":"M^3-Bench: Multi-Modal, Multi-Hop, Multi-Threaded Tool-Using MLLM Agent Benchmark","abstract":"We present M^3-Bench, the first benchmark for evaluating multimodal tool use under the Model Context Protocol. The benchmark targets realistic, multi-hop and multi-threaded workflows that require visual grounding and textual reasoning, cross-tool dependencies, and persistence of intermediate resources across steps. We introduce a similarity-driven alignment that serializes each tool call, embeds signatures with a sen","authors":["Yang Zhou","Mingyu Zhao","Zhenting Wang","Difei Gu","Bangwei Guo","Ruosong Ye"],"url":"http://arxiv.org/abs/2511.17729v4","arxiv_id":"2511.17729v4","published":"2025-11-21T19:27:02Z"},{"title":"Ternary Gamma Semirings as a Novel Algebraic Framework for Learnable Symbolic Reasoning","abstract":"Binary semirings such as the tropical, log, and probability semirings form a core algebraic tool in classical and modern neural inference systems, supporting tasks like Viterbi decoding, dynamic programming, and probabilistic reasoning. However, these structures rely on a binary multiplication operator and therefore model only pairwise interactions. Many symbolic AI tasks are inherently triadic, including subject-pre","authors":["Chandrasekhar Gokavarapu","D. Madhusudhana Rao"],"url":"http://arxiv.org/abs/2511.17728v1","arxiv_id":"2511.17728v1","published":"2025-11-21T19:26:18Z"},{"title":"Learning the Value of Value Learning","abstract":"Standard decision frameworks address uncertainty about facts but assume fixed options and values. We extend the Jeffrey-Bolker framework to model refinements in values and prove a value-of-information theorem for axiological refinement. In multi-agent settings, we establish that mutual refinement will characteristically transform zero-sum games into positive-sum interactions and yield Pareto-improvements in Nash barg","authors":["Alex John London","Aydin Mohseni"],"url":"http://arxiv.org/abs/2511.17714v5","arxiv_id":"2511.17714v5","published":"2025-11-21T19:06:30Z"},{"title":"The Rapid Growth of AI Foundation Model Usage in Science","abstract":"We present the first large-scale analysis of AI foundation model usage in science - not just citations or keywords. We find that adoption has grown rapidly, at nearly-exponential rates, with the highest uptake in Linguistics, Computer Science, and Engineering. Vision models are the most used foundation models in science, although language models' share is growing. Open-weight models dominate. As AI builders increase ","authors":["Ana Trišović","Alex Fogelson","Janakan Sivaloganathan","Neil Thompson"],"url":"http://arxiv.org/abs/2511.21739v1","arxiv_id":"2511.21739v1","published":"2025-11-21T19:00:15Z"},{"title":"Understanding Counting Mechanisms in Large Language and Vision-Language Models","abstract":"Counting is one of the fundamental abilities of large language models (LLMs) and large vision-language models (LVLMs). This paper examines how these foundation models represent and compute numerical information in counting tasks. We use controlled experiments with repeated textual and visual items and analyze counting in LLMs and LVLMs through a set of behavioral, observational, and causal mediation analyses. To this","authors":["Hosein Hasani","Amirmohammad Izadi","Fatemeh Askari","Mobin Bagherian","Sadegh Mohammadian","Mohammad Izadi"],"url":"http://arxiv.org/abs/2511.17699v2","arxiv_id":"2511.17699v2","published":"2025-11-21T18:48:22Z"}],"history":{"events":[{"year":2015,"text":"The Belgian government imposed a four-day security lockdown in Brussels based on information about potential terrorist attacks.","url":"https://en.wikipedia.org/wiki/2015_Brussels_lockdown"},{"year":2012,"text":"A remote-controlled bomb exploded on a bus in Tel Aviv, Israel, injuring at least 28 people on board.","url":"https://en.wikipedia.org/wiki/2012_Tel_Aviv_bus_bombing"},{"year":2009,"text":"An explosion in a coal mine in Heilongjiang, China, killed 108 miners.","url":"https://en.wikipedia.org/wiki/2009_Heilongjiang_mine_explosion"},{"year":1980,"text":"A fire broke out at the MGM Grand Hotel on the Las Vegas Strip in Paradise, Nevada, killing 85 people and injuring 650 others.","url":"https://en.wikipedia.org/wiki/MGM_Grand_fire"},{"year":1977,"text":"\"God Defend New Zealand\" became New Zealand's second national anthem, on equal standing with \"God Save the King\", which had been the traditional anthem since 1840.","url":"https://en.wikipedia.org/wiki/God_Defend_New_Zealand"},{"year":1974,"text":"Bombs exploded in two pubs in central Birmingham, England, killing 21 people and leading to the imprisonment of six people who were later exonerated.","url":"https://en.wikipedia.org/wiki/Birmingham_pub_bombings"},{"year":1970,"text":"Vietnam War: American forces raided the North Vietnamese Sơn Tây prison camp in an attempt to rescue 61 American POWs who were thought to be held there.","url":"https://en.wikipedia.org/wiki/Vietnam_War"},{"year":1964,"text":"The Verrazzano-Narrows Bridge, connecting Staten Island and Brooklyn in New York City, opened to traffic as the longest suspension bridge in the world at the time.","url":"https://en.wikipedia.org/wiki/Verrazzano%E2%80%93Narrows_Bridge"},{"year":1961,"text":"La Ronde (pictured), the first revolving restaurant in the United States, was inaugurated.","url":"https://en.wikipedia.org/wiki/La_Ronde_(restaurant)"},{"year":1959,"text":"American disc jockey Alan Freed (pictured), who popularized the term rock and roll, was fired from WABC-AM for his role in the payola scandal.","url":"https://en.wikipedia.org/wiki/Disc_jockey"},{"year":1950,"text":"Two trains collided near Valemount, Canada, killing 21 people; the subsequent trial brought future prime minister John Diefenbaker to greater political attention.","url":"https://en.wikipedia.org/wiki/Canoe_River_train_crash"},{"year":1945,"text":"Manzanar (pictured), a camp in California for the internment of Japanese Americans during World War II, was closed.","url":"https://en.wikipedia.org/wiki/Manzanar"},{"year":1922,"text":"Rebecca Latimer Felton became the first woman to serve in the United States Senate, albeit for only one day.","url":"https://en.wikipedia.org/wiki/Rebecca_Latimer_Felton"},{"year":1920,"text":"Irish War of Independence: On Bloody Sunday in Dublin, the IRA assassinated a group of British intelligence agents, and British forces killed 14 civilians at a Gaelic football match at Croke Park.","url":"https://en.wikipedia.org/wiki/Irish_War_of_Independence"},{"year":1894,"text":"First Sino-Japanese War: After capturing the Chinese city of Port Arthur, the Japanese army began a massacre of the city's soldiers and civilians.","url":"https://en.wikipedia.org/wiki/First_Sino-Japanese_War"},{"year":1877,"text":"Thomas Edison announced his invention of the phonograph, a device able to record and play sound.","url":"https://en.wikipedia.org/wiki/Thomas_Edison"},{"year":1620,"text":"The Mayflower Compact, the first governing document of the Plymouth Colony, was signed by 41 of the Mayflower's passengers while the ship was anchored in what is now Provincetown Harbor.","url":"https://en.wikipedia.org/wiki/Mayflower_Compact"},{"year":1386,"text":"Turco-Mongol conqueror Timur captured and sacked the Georgian capital Tbilisi and forced King Bagrat V to convert to Islam.","url":"https://en.wikipedia.org/wiki/Turco-Mongol_tradition"}],"births":[{"year":2004,"text":"Liz, South Korean singer","url":"https://en.wikipedia.org/wiki/Liz_(South_Korean_singer)"},{"year":2004,"text":"Rico Lewis, English footballer","url":"https://en.wikipedia.org/wiki/Rico_Lewis"},{"year":2001,"text":"Rizky Ridho, Indonesian footballer","url":"https://en.wikipedia.org/wiki/Rizky_Ridho"},{"year":2000,"text":"Isabel May, American actress","url":"https://en.wikipedia.org/wiki/Isabel_May"},{"year":2000,"text":"Matt O'Riley, English-Danish footballer","url":"https://en.wikipedia.org/wiki/Matt_O'Riley"},{"year":1999,"text":"Jaelin Howell, American soccer player","url":"https://en.wikipedia.org/wiki/Jaelin_Howell"},{"year":1998,"text":"Ognjen Ilić, Serbian cyclist","url":"https://en.wikipedia.org/wiki/Ognjen_Ili%C4%87"},{"year":1998,"text":"Vangelis Pavlidis, Greek footballer","url":"https://en.wikipedia.org/wiki/Vangelis_Pavlidis"}],"deaths":[{"year":2024,"text":"Alice Brock, American artist, author and restauranteur (born 1941)","url":"https://en.wikipedia.org/wiki/Alice_Brock"},{"year":2021,"text":"Lou Cutell, American actor (born 1930)","url":"https://en.wikipedia.org/wiki/Lou_Cutell"},{"year":2021,"text":"Jean-Pierre Schumacher, French Trappist monk and survivor of the Thibirine monks (born 1924)","url":"https://en.wikipedia.org/wiki/Jean-Pierre_Schumacher"},{"year":2017,"text":"David Cassidy, American singer-songwriter and guitarist (born 1950)","url":"https://en.wikipedia.org/wiki/David_Cassidy"},{"year":2016,"text":"Hassan Sadpara, Pakistani mountaineer and adventurer (born 1963)","url":"https://en.wikipedia.org/wiki/Hassan_Sadpara"},{"year":2015,"text":"Gil Cardinal, Canadian director, producer, and screenwriter (born 1950)","url":"https://en.wikipedia.org/wiki/Gil_Cardinal"},{"year":2015,"text":"Ameen Faheem, Indian-Pakistani poet and politician (born 1939)","url":"https://en.wikipedia.org/wiki/Ameen_Faheem"},{"year":2015,"text":"Bob Foster, American boxer and police officer (born 1938)","url":"https://en.wikipedia.org/wiki/Bob_Foster_(boxer)"}]},"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"},{"id":"frontier","name":"Hacker News","url":"https://news.ycombinator.com","licence":"Public API — titles and links, credited","attribution":"Hacker News / Y Combinator"},{"id":"research","name":"arXiv cs.AI","url":"https://arxiv.org","licence":"Open metadata, per arXiv API terms","attribution":"arXiv.org"},{"id":"history","name":"Wikipedia On this day","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"}],"licence":"Records are CC BY-SA 4.0, inheriting from Wikipedia. Every item links to its source."}