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5b01231738f559ee87d357cc95ff2f0b096dcc8bb8c15f4a3f079eac1d082dab | 2026-01-15T07:00:10+00:00 | Complex mesoscale landscapes beneath Antarctica mapped from space | Science, Volume 391, Issue 6782, Page 314-319, January 2026. | https://www.science.org/doi/abs/10.1126/science.ady2532?af=R | Academic Papers | svg |
564f8a12ff3b57c194351f4cb81157af3ed984e86a6d3545866b10aace134490 | 2025-11-27T07:00:00+00:00 | Characterizing transport in a quantum gas by measuring Drude weights | Science, Volume 391, Issue 6782, Page 290-293, January 2026. | https://www.science.org/doi/abs/10.1126/science.ads8327?af=R | Academic Papers | svg |
16d8fc0fbb73fe292e2ca415f0385c63b57112b77b49f2c60749be1ca5f3c2ba | 2026-01-15T07:00:10+00:00 | Transforming mental health research and care through artificial intelligence | Science, Volume 391, Issue 6782, Page 249-258, January 2026. | https://www.science.org/doi/abs/10.1126/science.adz9193?af=R | Academic Papers | svg |
990dde5e11a4da6fbbeacfb5d4b8a8da1ea6c9dd1b63a162e06c6aff2cf72b20 | 2026-01-15T07:00:10+00:00 | Growing pains | Science, Volume 391, Issue 6782, Page 322-322, January 2026. | https://www.science.org/doi/abs/10.1126/science.aef3527?af=R | Academic Papers | svg |
7e115610b05ce854362a3abbc4aa21540a64147d0c9132f0b85f10fa9dbdb436 | 2026-01-15T07:00:10+00:00 | In Other Journals | Science, Volume 391, Issue 6782, Page 260-261, January 2026. | https://www.science.org/doi/abs/10.1126/science.aef4211?af=R | Academic Papers | svg |
ebf2adfee2443c831852a1f882056b4d2b232c9234c5743ed169b9611a9dc59c | 2026-01-15T07:00:10+00:00 | Blood vessels under pressure | Science, Volume 391, Issue 6782, Page 237-238, January 2026. | https://www.science.org/doi/abs/10.1126/science.aed9277?af=R | Academic Papers | svg |
b390f8eaa667bdab15583d1e6f7378be56499d4d6fdf727683a4bd7b9619c6ba | 2026-01-15T07:00:10+00:00 | A new cell type drove human brain complexity | Science, Volume 391, Issue 6782, Page 240-240, January 2026. | https://www.science.org/doi/abs/10.1126/science.aee0974?af=R | Academic Papers | svg |
24dcdadee86ff5ac8a51590a638c338af1f76abbb63b3cbe80694a72897e2887 | 2026-01-15T07:00:10+00:00 | Robust perovskite nanocrystal emitters | Science, Volume 391, Issue 6782, Page 238-239, January 2026. | https://www.science.org/doi/abs/10.1126/science.aee0989?af=R | Academic Papers | svg |
feaaf8291404cc6426d42719cc1f40cf4b91e7f4c259f245a018b309de3449d2 | 2026-01-15T07:00:10+00:00 | Not a big baby | Science, Volume 391, Issue 6782, Page 234-235, January 2026. | https://www.science.org/doi/abs/10.1126/science.aed8356?af=R | Academic Papers | svg |
bee94ddd6e1e6c2201d995249e73b322c17d7b1c5c4808414e5d6f0e3ab2be07 | 2026-01-15T07:00:10+00:00 | Uncovering Antarctica’s ice-draped landscape | Science, Volume 391, Issue 6782, Page 235-236, January 2026. | https://www.science.org/doi/abs/10.1126/science.aee4245?af=R | Academic Papers | svg |
7c887dcf92a3ff431316767fdf377780a3d2355464a9c1f3e6fbe4ccc3934117 | 2026-01-15T07:00:10+00:00 | Canada’s dismantled safeguards threaten salmon | Science, Volume 391, Issue 6782, Page 247-248, January 2026. | https://www.science.org/doi/abs/10.1126/science.aee3537?af=R | Academic Papers | svg |
68f48b4d3a6fce26ac99e248408e98a7dd1d01d21a87310325e3cdd575a7f5d0 | 2026-01-15T07:00:10+00:00 | Climate-change extremes threaten Iraq | Science, Volume 391, Issue 6782, Page 248-248, January 2026. | https://www.science.org/doi/abs/10.1126/science.aee9226?af=R | Academic Papers | svg |
b869a6b272458637c91707154df07f871c116ab9404458969abe4ef31a7fb055 | 2026-01-15T07:00:10+00:00 | Misusing research to trap songbirds in Spain | Science, Volume 391, Issue 6782, Page 247-247, January 2026. | https://www.science.org/doi/abs/10.1126/science.aee3825?af=R | Academic Papers | svg |
db805d41d960d17a2dc8d2a918368a5af6c4a7b386da5cba6fa5ac0970e1029a | 2026-01-15T07:00:10+00:00 | A difficult rebirth | Science, Volume 391, Issue 6782, Page 228-232, January 2026. | https://www.science.org/doi/abs/10.1126/science.aef4208?af=R | Academic Papers | svg |
5aa7f61083509f0f0f4be870b3f338fec3bf54d0c1e1d91e5238a8484fa94611 | 2026-01-15T07:00:10+00:00 | Scientists reject call to retest childhood vaccines | Science, Volume 391, Issue 6782, Page 220-221, January 2026. | https://www.science.org/doi/abs/10.1126/science.aef4614?af=R | Academic Papers | svg |
c40b5216d1b65d49ed61c253a80ae38b97012693ed533bebb5354b730f0dfe21 | 2026-01-15T07:00:10+00:00 | Cellular ‘vaults’ deployed to spy on gene activity | Science, Volume 391, Issue 6782, Page 222-223, January 2026. | https://www.science.org/doi/abs/10.1126/science.aef4615?af=R | Academic Papers | svg |
b8f36efe7135930bbdb9c82d5d275776388f6240f03a18103342693fc0731e7c | 2026-01-15T07:00:10+00:00 | Low doses of insecticide speed fish aging and death | Science, Volume 391, Issue 6782, Page 224-225, January 2026. | https://www.science.org/doi/abs/10.1126/science.aef4616?af=R | Academic Papers | svg |
2cd4fc1eb4db2d294f47162dacdba74d572e378211803983b062dee1e93d5c26 | 2026-01-15T07:00:10+00:00 | Arctic’s ‘last ice area’ is on thin ice | Science, Volume 391, Issue 6782, Page 225-226, January 2026. | https://www.science.org/doi/abs/10.1126/science.aef4617?af=R | Academic Papers | svg |
c88c9e7c470aac7df0b7965949583a91a6c833fa1535ee9088ca5b3e6b149a3f | 2026-01-15T07:00:10+00:00 | Ex–Google CEO funds private space telescope bigger than Hubble | Science, Volume 391, Issue 6782, Page 226-227, January 2026. | https://www.science.org/doi/abs/10.1126/science.aef4618?af=R | Academic Papers | svg |
72a8c465445ce8a4e90325fd7ce506ebca4d17e6ed712a61e0a13588a65733ff | 2026-01-15T08:00:00+00:00 | The mirage of AI deregulation | Science, Volume 391, Issue 6782, January 2026. | https://www.science.org/doi/abs/10.1126/science.aee4900?af=R | Academic Papers | svg |
ec44f9126ee51029f9bb713e9e7f21308284c2de2a9765335f55da3c3cdd40f2 | 2026-01-15T07:00:10+00:00 | The High Seas Treaty, at last | Science, Volume 391, Issue 6782, Page 219-219, January 2026. | https://www.science.org/doi/abs/10.1126/science.aef3177?af=R | Academic Papers | svg |
b6aadab79ec75444773c7cbdbf3017f96d84e34302c9dd0aa9da46cfd4f4131d | 2026-01-15T07:00:10+00:00 | A theory of change approach to enhance the post-2030 sustainable development agenda | Science, Volume 391, Issue 6782, Page 241-244, January 2026. | https://www.science.org/doi/abs/10.1126/science.adz5704?af=R | Academic Papers | svg |
77354b6255170146328d8805cbf55bdc46c0110a0998578fd0e53c6a46d14815 | 2026-01-15T07:00:10+00:00 | In Science Journals | Science, Volume 391, Issue 6782, Page 259-261, January 2026. | https://www.science.org/doi/abs/10.1126/science.aef4210?af=R | Academic Papers | svg |
0db0d92a323ccbe0a8d56505fba4a34fc8c44426b393b1dd4b4b84cc16c4f938 | 2026-01-16T00:00:00-05:00 | Social Determinants of Health Prediction for ICD-9 Code with Reasoning Models | arXiv:2601.09709v1 Announce Type: new Abstract: Social Determinants of Health correlate with patient outcomes but are rarely captured in structured data. Recent attention has been given to automatically extracting these markers from clinical text to supplement diagnostic systems with knowledge of patients' social circu... | https://arxiv.org/abs/2601.09709 | Academic Papers | svg |
f7b907bef486c4120c8184508862d93d724f46026f9a48bb0ce09f6ed5c84795 | 2026-01-16T00:00:00-05:00 | Segmenta\c{c}\~ao Comportamental, Do Not Track e o desenvolvimento jur\'idico europeu e holand\^es | arXiv:2601.09711v1 Announce Type: new Abstract: This paper discusses legal developments in Europe and the Netherlands. Recent decisions show that European data protection law, or privacy law, applies to behavioral targeting in most cases. Dutch law explicitly presumes that data protection law applies to behavioral targ... | https://arxiv.org/abs/2601.09711 | Academic Papers | svg |
68cfc4b17418b91d8aba66f7ba9dcf498b0bbf604b9d1589897da598ae74f400 | 2026-01-16T00:00:00-05:00 | Behavioral Targeting, a European Legal Perspective | arXiv:2601.09712v1 Announce Type: new Abstract: Behavioral targeting, or online profiling, is a hotly debated topic. Much of the collection of personal information on the Internet is related to behavioral targeting, although research suggests that most people don't want to receive behaviorally targeted advertising. The... | https://arxiv.org/abs/2601.09712 | Academic Papers | svg |
162b606f228bf44728259aae4c43e12995e4e621504474c5a33a5940433ad2f6 | 2026-01-16T00:00:00-05:00 | LLM-Driven Preference Data Synthesis for Proactive Prediction of the Next User Utterance in Human-Machine Dialogue | arXiv:2601.09713v1 Announce Type: new Abstract: Proactively predicting a users next utterance in human-machine dialogue can streamline interaction and improve user experience. Existing commercial API-based solutions are subject to privacy concerns while deploying general-purpose LLMs locally remains computationally exp... | https://arxiv.org/abs/2601.09713 | Academic Papers | svg |
95cef6abd43dc0988c6f16848bb2ab8e2c170bd3a586b7d41fa3d52b1e015258 | 2026-01-16T00:00:00-05:00 | Evaluating Novelty in AI-Generated Research Plans Using Multi-Workflow LLM Pipelines | arXiv:2601.09714v1 Announce Type: new Abstract: The integration of Large Language Models (LLMs) into the scientific ecosystem raises fundamental questions about the creativity and originality of AI-generated research. Recent work has identified ``smart plagiarism'' as a concern in single-step prompting approaches, wher... | https://arxiv.org/abs/2601.09714 | Academic Papers | svg |
487233275c74f8ab4ee6a1c7629d82c9cfd1055a5e4d815993c7a267afb3416e | 2026-01-16T00:00:00-05:00 | Introducing Axlerod: An LLM-based Chatbot for Assisting Independent Insurance Agents | arXiv:2601.09715v1 Announce Type: new Abstract: The insurance industry is undergoing a paradigm shift through the adoption of artificial intelligence (AI) technologies, particularly in the realm of intelligent conversational agents. Chatbots have evolved into sophisticated AI-driven systems capable of automating comple... | https://arxiv.org/abs/2601.09715 | Academic Papers | svg |
2514ff80acdd1e7bdcd0ac2c0d38be39c752c5ea7369619fedb7c4f351478ede | 2026-01-16T00:00:00-05:00 | Opportunities and Challenges of Natural Language Processing for Low-Resource Senegalese Languages in Social Science Research | arXiv:2601.09716v1 Announce Type: new Abstract: Natural Language Processing (NLP) is rapidly transforming research methodologies across disciplines, yet African languages remain largely underrepresented in this technological shift. This paper provides the first comprehensive overview of NLP progress and challenges for ... | https://arxiv.org/abs/2601.09716 | Academic Papers | svg |
46101a05ba9a2af19f4decd52a7c68cc6a0470766aa1e60fcb5002ecd4b09e4d | 2026-01-16T00:00:00-05:00 | SALP-CG: Standard-Aligned LLM Pipeline for Classifying and Grading Large Volumes of Online Conversational Health Data | arXiv:2601.09717v1 Announce Type: new Abstract: Online medical consultations generate large volumes of conversational health data that often embed protected health information, requiring robust methods to classify data categories and assign risk levels in line with policies and practice. However, existing approaches la... | https://arxiv.org/abs/2601.09717 | Academic Papers | svg |
9dacfd675b72b3141afb52b0d50c40350a3f3bbb1995a08cfe6f35e8c505e2bf | 2026-01-16T00:00:00-05:00 | StatLLaMA: A multi-stage training framework for building a domain-optimized statistical language model | arXiv:2601.09718v1 Announce Type: new Abstract: This study investigates how to efficiently build a domain-specialized large language model (LLM) for statistics using the lightweight LLaMA-3.2-3B family as the foundation model (FM). We systematically compare three multi-stage training pipelines, starting from a base FM ... | https://arxiv.org/abs/2601.09718 | Academic Papers | svg |
d22623716d5009a15b483f8e9707b3664bbac91c259a50dfbc6858c09ada3bc5 | 2026-01-16T00:00:00-05:00 | Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization in Large Language Models | arXiv:2601.09719v1 Announce Type: new Abstract: Pre-Layer Normalization (Pre-LN) is the de facto choice for large language models (LLMs) and is crucial for stable pretraining and effective transfer learning. However, Pre-LN is inefficient due to repeated statistical calculations and suffers from the curse of depth. As ... | https://arxiv.org/abs/2601.09719 | Academic Papers | svg |
b9306b4b419280ca1475281b55234eca2c2a95b221b1784442280ebd8a1bef9f | 2026-01-16T00:00:00-05:00 | Uncertainty-Aware Dynamic Knowledge Graphs for Reliable Question Answering | arXiv:2601.09720v1 Announce Type: new Abstract: Question answering (QA) systems are increasingly deployed across domains. However, their reliability is undermined when retrieved evidence is incomplete, noisy, or uncertain. Existing knowledge graph (KG) based QA frameworks typically represent facts as static and determi... | https://arxiv.org/abs/2601.09720 | Academic Papers | svg |
edd8024a0b7e012acea66ba54d127c71a8266a43690503e72ad7983c496c99d6 | 2026-01-16T00:00:00-05:00 | Cross-Platform Evaluation of Large Language Model Safety in Pediatric Consultations: Evolution of Adversarial Robustness and the Scale Paradox | arXiv:2601.09721v1 Announce Type: new Abstract: Background Large language models (LLMs) are increasingly deployed in medical consultations, yet their safety under realistic user pressures remains understudied. Prior assessments focused on neutral conditions, overlooking vulnerabilities from anxious users challenging sa... | https://arxiv.org/abs/2601.09721 | Academic Papers | svg |
7d30733019501884f2c02cac87149b84c4237cf7c267d378e714255b15d9ea08 | 2026-01-16T00:00:00-05:00 | ADMEDTAGGER: an annotation framework for distillation of expert knowledge for the Polish medical language | arXiv:2601.09722v1 Announce Type: new Abstract: In this work, we present an annotation framework that demonstrates how a multilingual LLM pretrained on a large corpus can be used as a teacher model to distill the expert knowledge needed for tagging medical texts in Polish. This work is part of a larger project called A... | https://arxiv.org/abs/2601.09722 | Academic Papers | svg |
0a6bfa2a53bf2f17be0e0ab89ef81e22584a70040ea138fc45945c0acfbc3f00 | 2026-01-16T00:00:00-05:00 | SagaScale: A Realistic, Scalable, and High-Quality Long-Context Benchmark Built from Full-Length Novels | arXiv:2601.09723v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown significant progress, but understanding long and complex documents remains challenging. Many long-context benchmarks have been proposed, but they face several limitations, including task realism, data scalability, and data quality. ... | https://arxiv.org/abs/2601.09723 | Academic Papers | svg |
066930686448308e7e58024254c7cb797800dd7fc1badd9933dac2ef1408a757 | 2026-01-16T00:00:00-05:00 | Syntactic Framing Fragility: An Audit of Robustness in LLM Ethical Decisions | arXiv:2601.09724v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed in consequential decision-making settings, yet their robustness to benign prompt variation remains underexplored. In this work, we study whether LLMs maintain consistent ethical judgments across logically equivalent b... | https://arxiv.org/abs/2601.09724 | Academic Papers | svg |
5c22c8c5dc734977d6931f7dc995e9d97a3ecb00171e3e1ef6e83811bfb46b84 | 2026-01-16T00:00:00-05:00 | Assessing and Improving Punctuation Robustness in English-Marathi Machine Translation | arXiv:2601.09725v1 Announce Type: new Abstract: Punctuation plays a critical role in resolving semantic and structural ambiguity in written language. Machine Translation (MT) systems are now widely applied across diverse domains and languages, including many low-resource settings. In this work, we focus on Marathi, a l... | https://arxiv.org/abs/2601.09725 | Academic Papers | svg |
1efb8eb0cb08e7cd2b2c950846c57accb6d3356406dbe9884dc557bb53d7d9a0 | 2026-01-16T00:00:00-05:00 | Forgetting as a Feature: Cognitive Alignment of Large Language Models | arXiv:2601.09726v1 Announce Type: new Abstract: Large Language Models (LLMs) are often evaluated against ideals of perfect Bayesian inference, yet growing evidence suggests that their in-context reasoning exhibits systematic forgetting of past information. Rather than viewing this behavior as a limitation, we reinterpr... | https://arxiv.org/abs/2601.09726 | Academic Papers | svg |
08d9784e872721d51bfe2e06c4cd96f361b1c36f94c6664fc2d5fef34c79d392 | 2026-01-16T00:00:00-05:00 | SciNets: Graph-Constrained Multi-Hop Reasoning for Scientific Literature Synthesis | arXiv:2601.09727v1 Announce Type: new Abstract: Cross-domain scientific synthesis requires connecting mechanistic explanations across fragmented literature, a capability that remains challenging for both retrieval-based systems and unconstrained language models. While recent work has applied large language models to sc... | https://arxiv.org/abs/2601.09727 | Academic Papers | svg |
7983aad81cebe2f6edf60e199b40d209e392ed5510d284daaf965f87769f93c4 | 2026-01-16T00:00:00-05:00 | Eliminating Agentic Workflow for Introduction Generation with Parametric Stage Tokens | arXiv:2601.09728v1 Announce Type: new Abstract: In recent years, using predefined agentic workflows to guide large language models (LLMs) for literature classification and review has become a research focus. However, writing research introductions is more challenging. It requires rigorous logic, coherent structure, and... | https://arxiv.org/abs/2601.09728 | Academic Papers | svg |
570a08cfec0947d9d72ae1b80596756fc8d853562edafe677ec7e24ae3da8ab4 | 2026-01-16T00:00:00-05:00 | Enhancing Business Analytics through Hybrid Summarization of Financial Reports | arXiv:2601.09729v1 Announce Type: new Abstract: Financial reports and earnings communications contain large volumes of structured and semi structured information, making detailed manual analysis inefficient. Earnings conference calls provide valuable evidence about a firm's performance, outlook, and strategic prioritie... | https://arxiv.org/abs/2601.09729 | Academic Papers | svg |
1bf09099237eef164d8b8b0eac43f1ed623c79bad5d3fda1b6e963efa5e6791b | 2026-01-16T00:00:00-05:00 | Clinical Document Metadata Extraction: A Scoping Review | arXiv:2601.09730v1 Announce Type: new Abstract: Clinical document metadata, such as document type, structure, author role, medical specialty, and encounter setting, is essential for accurate interpretation of information captured in clinical documents. However, vast documentation heterogeneity and drift over time chall... | https://arxiv.org/abs/2601.09730 | Academic Papers | svg |
ed2d4a2507f0fad7cc6375a8920450531d124d9b8eb706dcbfbb4529a61aabeb | 2026-01-16T00:00:00-05:00 | Geometric Patterns of Meaning: A PHATE Manifold Analysis of Multi-lingual Embeddings | arXiv:2601.09731v1 Announce Type: new Abstract: We introduce a multi-level analysis framework for examining semantic geometry in multilingual embeddings, implemented through Semanscope (a visualization tool that applies PHATE manifold learning across four linguistic levels). Analysis of diverse datasets spanning sub-ch... | https://arxiv.org/abs/2601.09731 | Academic Papers | svg |
a4aa0a99c07ebfcde800fa8c31fe3b3c886bc0e712e5e310f37a5509856a5467 | 2026-01-16T00:00:00-05:00 | Benchmarking Cross-Lingual Semantic Alignment in Multilingual Embeddings | arXiv:2601.09732v1 Announce Type: new Abstract: With hundreds of multilingual embedding models available, practitioners lack clear guidance on which provide genuine cross-lingual semantic alignment versus task performance through language-specific patterns. Task-driven benchmarks (MTEB) may mask fundamental alignment s... | https://arxiv.org/abs/2601.09732 | Academic Papers | svg |
391803660a10f81d135cba66f1a5624be0399345a2ef6005ea78367f7495867c | 2026-01-16T00:00:00-05:00 | Closing the Data Loop: Using OpenDataArena to Engineer Superior Training Datasets | arXiv:2601.09733v1 Announce Type: new Abstract: The construction of Supervised Fine-Tuning (SFT) datasets is a critical yet under-theorized stage in the post-training of Large Language Models (LLMs), as prevalent practices often rely on heuristic aggregation without a systematic understanding of how individual samples ... | https://arxiv.org/abs/2601.09733 | Academic Papers | svg |
a3fdbb4f4029c85471d983232d362ed37eee368180bf255a04b6f865aa398008 | 2026-01-16T00:00:00-05:00 | From Detection to Diagnosis: Advancing Hallucination Analysis with Automated Data Synthesis | arXiv:2601.09734v1 Announce Type: new Abstract: Hallucinations in Large Language Models (LLMs), defined as the generation of content inconsistent with facts or context, represent a core obstacle to their reliable deployment in critical domains. Current research primarily focuses on binary "detection" approaches that, w... | https://arxiv.org/abs/2601.09734 | Academic Papers | svg |
5e07b775ab1f3af6d55a56667fb6015375d2f0478ecfc8471b5ce2e1b6748e3f | 2026-01-16T00:00:00-05:00 | Multiverse: Transactional Memory with Dynamic Multiversioning | arXiv:2601.09735v1 Announce Type: new Abstract: Software transactional memory (STM) allows programmers to easily implement concurrent data structures. STMs simplify atomicity. Recent STMs can achieve good performance for some workloads but they have some limitations. In particular, STMs typically cannot support long-ru... | https://arxiv.org/abs/2601.09735 | Academic Papers | svg |
fe6949ce549adf3c949311e7a56182244b6f6ed815484102d7b8be3afb1c47bb | 2026-01-16T00:00:00-05:00 | Reinforced Linear Genetic Programming | arXiv:2601.09736v1 Announce Type: new Abstract: Linear Genetic Programming (LGP) is a powerful technique that allows for a variety of problems to be solved using a linear representation of programs. However, there still exists some limitations to the technique, such as the need for humans to explicitly map registers to... | https://arxiv.org/abs/2601.09736 | Academic Papers | svg |
5426f7fc1c3dfe51f08a5fbb8362e861afa904a0fccb214d5357fec23c5aa767 | 2026-01-16T00:00:00-05:00 | Filtering for Copyright Enforcement in Europe after the Sabam cases | arXiv:2601.09739v1 Announce Type: new Abstract: Sabam, a Belgian collective rights management organisation, wanted an internet access provider and a social network site to install a filter system to enforce copyrights. In two recent judgments, the Court of Justice of the European Union decided that the social network s... | https://arxiv.org/abs/2601.09739 | Academic Papers | svg |
ccacdf71db9aa0676713a3d5ccd309b1abdd742eb3827a2ac15d0a1408a1b3c3 | 2026-01-16T00:00:00-05:00 | Formal Safety Guarantees for Autonomous Vehicles using Barrier Certificates | arXiv:2601.09740v1 Announce Type: new Abstract: Modern AI technologies enable autonomous vehicles to perceive complex scenes, predict human behavior, and make real-time driving decisions. However, these data-driven components often operate as black boxes, lacking interpretability and rigorous safety guarantees. Autonom... | https://arxiv.org/abs/2601.09740 | Academic Papers | svg |
8382e44b6fec1d233aae20fe822eea0162c39aea8dc31dd2af635e4ef4e7c302 | 2026-01-16T00:00:00-05:00 | Putting green software principles into practice | arXiv:2601.09741v1 Announce Type: new Abstract: The need and theoretical methods for measuring and reducing CO2 emitted by computing systems are well understood, but real-world examples are still limited. We describe a journey towards green software for a live product running on a public cloud. We discuss practical sol... | https://arxiv.org/abs/2601.09741 | Academic Papers | svg |
d1642c5b03550e1e53e558402c9d916675b4b402bdd7007072e82a9b41290413 | 2026-01-16T00:00:00-05:00 | Adaptive Orchestration: Scalable Self-Evolving Multi-Agent Systems | arXiv:2601.09742v1 Announce Type: new Abstract: As Large Language Models (LLMs) are increasingly deployed as autonomous agents, they face a critical scalability bottleneck known as the "Generalization-Specialization Dilemma." Monolithic agents equipped with extensive toolkits suffer from context pollution and attention... | https://arxiv.org/abs/2601.09742 | Academic Papers | svg |
54381d839bbaf736021cbf34de34bfb18301b68e403fcebb3e0d8ea8ddcd2acd | 2026-01-16T00:00:00-05:00 | A Governance Model for IoT Data in Global Manufacturing | arXiv:2601.09744v1 Announce Type: new Abstract: Industrial IoT platforms in global manufacturing environments generate continuous operational data across production assets, utilities, and connected products. While data ingestion and storage capabilities have matured significantly, enterprises continue to face systemic ... | https://arxiv.org/abs/2601.09744 | Academic Papers | svg |
7eecc221e48f128e13f24136a734db237f9cf7df0aee13de72281f3b6c6afca3 | 2026-01-16T00:00:00-05:00 | Enhancing Formal Software Specification with Artificial Intelligence | arXiv:2601.09745v1 Announce Type: new Abstract: Formal software specification is known to enable early error detection and explicit invariants, yet it has seen limited industrial adoption due to its high notation overhead and the expertise required to use traditional formal languages. This paper presents a case study s... | https://arxiv.org/abs/2601.09745 | Academic Papers | svg |
270262e2577aefc32c0af52b6a2bb2acbf9adc85998f5b58df0c157e75e151a1 | 2026-01-16T00:00:00-05:00 | Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts | arXiv:2601.09746v1 Announce Type: new Abstract: This paper introduces a novel Multi-Agent Cooperative Learning (MACL) framework to address cross-modal alignment collapse in vision-language models when handling out-of-distribution (OOD) concepts. Four core agents, including image, text, name, and coordination agents, co... | https://arxiv.org/abs/2601.09746 | Academic Papers | svg |
cb9d2b7aa0c1ffe3be384818c036dfeb509189dc873e59f2d38ff775c600788e | 2026-01-16T00:00:00-05:00 | Instalaci\'on, configuraci\'on y utilizaci\'on de un nodo Bitcoin en Linux | arXiv:2601.09748v1 Announce Type: new Abstract: This paper documents the installation, configuration, and operation of a full Bitcoin node in a Linux environment, from manual compilation of the source code to complete synchronization with the network. The technical phases of the process are described, the main files ge... | https://arxiv.org/abs/2601.09748 | Academic Papers | svg |
61e3f783008550a23952e0f75fc68919ead6339ef62c534e3374242c3cc94f50 | 2026-01-16T00:00:00-05:00 | R-LAM: Reproducibility-Constrained Large Action Models for Scientific Workflow Automation | arXiv:2601.09749v1 Announce Type: new Abstract: Large Action Models (LAMs) extend large language models by enabling autonomous decision-making and tool execution, making them promising for automating scientific workflows. However, scientific workflows impose strict requirements on reproducibility, auditability, and det... | https://arxiv.org/abs/2601.09749 | Academic Papers | svg |
9848f89eaf3ccaaabea08ecb132a74d4b9f863571c9514e19ae3e572dcf02917 | 2026-01-16T00:00:00-05:00 | SAGE: Tool-Augmented LLM Task Solving Strategies in Scalable Multi-Agent Environments | arXiv:2601.09750v1 Announce Type: new Abstract: Large language models (LLMs) have proven to work well in question-answering scenarios, but real-world applications often require access to tools for live information or actuation. For this, LLMs can be extended with tools, which are often defined in advance, also allowing... | https://arxiv.org/abs/2601.09750 | Academic Papers | svg |
668f8e828a7ff18dd200995258b88b74079d7a9cd7f314908b7629611ef2809a | 2026-01-16T00:00:00-05:00 | Critically Engaged Pragmatism: A Scientific Norm and Social, Pragmatist Epistemology for AI Science Evaluation Tools | arXiv:2601.09753v1 Announce Type: new Abstract: Crises in peer review capacity, study replication, and AI-fabricated science have intensified interest in automated tools for assessing scientific research. However, the scientific community has a history of decontextualizing and repurposing credibility markers in inapt w... | https://arxiv.org/abs/2601.09753 | Academic Papers | svg |
45afa25e128bb4b7ad94d621aa2cffb1292cc33198cb447084fd529881b88fa5 | 2026-01-16T00:00:00-05:00 | Heterogeneous computing platform for real-time robotics | arXiv:2601.09755v1 Announce Type: new Abstract: After Industry 4.0 has embraced tight integration between machinery (OT), software (IT), and the Internet, creating a web of sensors, data, and algorithms in service of efficient and reliable production, a new concept of Society 5.0 is emerging, in which infrastructure of... | https://arxiv.org/abs/2601.09755 | Academic Papers | svg |
3c45b9746099a95dcff9818f5e45a5589d5a3bcb7b12511f1e58ba8500b7dad8 | 2026-01-16T00:00:00-05:00 | Synthetic Data for Veterinary EHR De-identification: Benefits, Limits, and Safety Trade-offs Under Fixed Compute | arXiv:2601.09756v1 Announce Type: new Abstract: Veterinary electronic health records (vEHRs) contain privacy-sensitive identifiers that limit secondary use. While PetEVAL provides a benchmark for veterinary de-identification, the domain remains low-resource. This study evaluates whether large language model (LLM)-gener... | https://arxiv.org/abs/2601.09756 | Academic Papers | svg |
985935610148b74f13bae9adf5d40c9d00ba9a05931f17e75c89563570175556 | 2026-01-16T00:00:00-05:00 | Democracy and Distrust in an Era of Artificial Intelligence | arXiv:2601.09757v1 Announce Type: new Abstract: This essay examines how judicial review should adapt to address challenges posed by artificial intelligence decision-making, particularly regarding minority rights and interests. As I argue in this essay, the rise of three trends-privatization, prediction, and automation ... | https://arxiv.org/abs/2601.09757 | Academic Papers | svg |
7d05e0171d956f518ea19c8e6032015be0302558d9570902afb5d8fc7a8665b7 | 2026-01-16T00:00:00-05:00 | Investigating Tool-Memory Conflicts in Tool-Augmented LLMs | arXiv:2601.09760v1 Announce Type: new Abstract: Tool-augmented large language models (LLMs) have powered many applications. However, they are likely to suffer from knowledge conflict. In this paper, we propose a new type of knowledge conflict -- Tool-Memory Conflict (TMC), where the internal parametric knowledge contra... | https://arxiv.org/abs/2601.09760 | Academic Papers | svg |
7e09fba1bcd229c81560a6e193d0aa86684702aaa4a9463af8bb46e7d388f8ec | 2026-01-16T00:00:00-05:00 | Explicating Tacit Regulatory Knowledge from LLMs to Auto-Formalize Requirements for Compliance Test Case Generation | arXiv:2601.09762v1 Announce Type: new Abstract: Compliance testing in highly regulated domains is crucial but largely manual, requiring domain experts to translate complex regulations into executable test cases. While large language models (LLMs) show promise for automation, their susceptibility to hallucinations limit... | https://arxiv.org/abs/2601.09762 | Academic Papers | svg |
e4fb5e1229937260b0f32b4bacb5e84758bbb9a6f48e6f2d8d26b4051f956100 | 2026-01-16T00:00:00-05:00 | AI Survival Stories: a Taxonomic Analysis of AI Existential Risk | arXiv:2601.09765v1 Announce Type: new Abstract: Since the release of ChatGPT, there has been a lot of debate about whether AI systems pose an existential risk to humanity. This paper develops a general framework for thinking about the existential risk of AI systems. We analyze a two premise argument that AI systems pos... | https://arxiv.org/abs/2601.09765 | Academic Papers | svg |
b22a48d91b4767300c8db5cc9a254d8bfe710e2f725de58ff2671db776682ad3 | 2026-01-16T00:00:00-05:00 | GUI-Eyes: Tool-Augmented Perception for Visual Grounding in GUI Agents | arXiv:2601.09770v1 Announce Type: new Abstract: Recent advances in vision-language models (VLMs) and reinforcement learning (RL) have driven progress in GUI automation. However, most existing methods rely on static, one-shot visual inputs and passive perception, lacking the ability to adaptively determine when, whether... | https://arxiv.org/abs/2601.09770 | Academic Papers | svg |
8876bceae5ea35059f32e3fa5b391bcd60e813e40a052139c8816e0fc528fc28 | 2026-01-16T00:00:00-05:00 | PCN-Rec: Agentic Proof-Carrying Negotiation for Reliable Governance-Constrained Recommendation | arXiv:2601.09771v1 Announce Type: new Abstract: Modern LLM-based recommenders can generate compelling ranked lists, but they struggle to reliably satisfy governance constraints such as minimum long-tail exposure or diversity requirements. We present PCN-Rec, a proof-carrying negotiation pipeline that separates natural-... | https://arxiv.org/abs/2601.09771 | Academic Papers | svg |
464b67b89b2badcc08b35e995381715b42b4447d1ad58681c3f03d9960e8b83c | 2026-01-16T00:00:00-05:00 | Antisocial behavior towards large language model users: experimental evidence | arXiv:2601.09772v1 Announce Type: new Abstract: The rapid spread of large language models (LLMs) has raised concerns about the social reactions they provoke. Prior research documents negative attitudes toward AI users, but it remains unclear whether such disapproval translates into costly action. We address this questi... | https://arxiv.org/abs/2601.09772 | Academic Papers | svg |
3457a017822a3fd91bcd794fda7b322730197e1732be636293caced729706853 | 2026-01-16T00:00:00-05:00 | Enhancing LUT-based Deep Neural Networks Inference through Architecture and Connectivity Optimization | arXiv:2601.09773v1 Announce Type: new Abstract: Deploying deep neural networks (DNNs) on resource-constrained edge devices such as FPGAs requires a careful balance among latency, power, and hardware resource usage, while maintaining high accuracy. Existing Lookup Table (LUT)-based DNNs -- such as LogicNets, PolyLUT, an... | https://arxiv.org/abs/2601.09773 | Academic Papers | svg |
938b91f1418f8943bd2bf569391120bc7568592f8c015779eb68b35c533c89b0 | 2026-01-16T00:00:00-05:00 | The Geometry of Thought: Disclosing the Transformer as a Tropical Polynomial Circuit | arXiv:2601.09775v1 Announce Type: new Abstract: We prove that the Transformer self-attention mechanism in the high-confidence regime ($\beta \to \infty$, where $\beta$ is an inverse temperature) operates in the tropical semiring (max-plus algebra). In particular, we show that taking the tropical limit of the softmax at... | https://arxiv.org/abs/2601.09775 | Academic Papers | svg |
8c092b32907408dfdfc117e6cee3e1797fe9cfe9a52215598edcee8062677e27 | 2026-01-16T00:00:00-05:00 | TimeSAE: Sparse Decoding for Faithful Explanations of Black-Box Time Series Models | arXiv:2601.09776v1 Announce Type: new Abstract: As black box models and pretrained models gain traction in time series applications, understanding and explaining their predictions becomes increasingly vital, especially in high-stakes domains where interpretability and trust are essential. However, most of the existing ... | https://arxiv.org/abs/2601.09776 | Academic Papers | svg |
5f25f42b69479d8cc8fd5d0d47ecd3e2bbba1eec5e19e8b7ff8e35c8d28568be | 2026-01-16T00:00:00-05:00 | Improving Chain-of-Thought for Logical Reasoning via Attention-Aware Intervention | arXiv:2601.09805v1 Announce Type: new Abstract: Modern logical reasoning with LLMs primarily relies on employing complex interactive frameworks that decompose the reasoning process into subtasks solved through carefully designed prompts or requiring external resources (e.g., symbolic solvers) to exploit their strong lo... | https://arxiv.org/abs/2601.09805 | Academic Papers | svg |
66b3b5c48e792f396c1a660f7c6d07f04091f13d8870de0c187319a1b16c924a | 2026-01-16T00:00:00-05:00 | Diffusion-Driven Deceptive Patches: Adversarial Manipulation and Forensic Detection in Facial Identity Verification | arXiv:2601.09806v1 Announce Type: new Abstract: This work presents an end-to-end pipeline for generating, refining, and evaluating adversarial patches to compromise facial biometric systems, with applications in forensic analysis and security testing. We utilize FGSM to generate adversarial noise targeting an identity ... | https://arxiv.org/abs/2601.09806 | Academic Papers | svg |
7801fecc1ad0ba89e6cb980d7e1d5501f1651cfcec13f1355e9ec6293f1b090d | 2026-01-16T00:00:00-05:00 | From Dynamic to Lexical: A Comparative Exploration of Scoping Rules in SAS and R | arXiv:2601.09808v1 Announce Type: new Abstract: Variable scoping dictates how and where variables are accessible within programming languages, playing a crucial role in code efficiency and organization. This paper examines the distinct scoping rules in SAS and R, focusing on SAS's dynamic scoping and R's lexical scopin... | https://arxiv.org/abs/2601.09808 | Academic Papers | svg |
4a46c63e6638e6a0b65cb455448829a874fa0e83761ed6b8f04599c5b88fddf5 | 2026-01-16T00:00:00-05:00 | QFed: Parameter-Compact Quantum-Classical Federated Learning | arXiv:2601.09809v1 Announce Type: new Abstract: Organizations and enterprises across domains such as healthcare, finance, and scientific research are increasingly required to extract collective intelligence from distributed, siloed datasets while adhering to strict privacy, regulatory, and sovereignty requirements. Fed... | https://arxiv.org/abs/2601.09809 | Academic Papers | svg |
ef18025d45501c9a6313bb78b7cedc0251f88e22ac70a1eeac602209560e92de | 2026-01-16T00:00:00-05:00 | Learning Ecological and Epidemic Processes using Neural ODEs, Kolmogorov-Arnold Network ODEs and SINDy | arXiv:2601.09811v1 Announce Type: new Abstract: We consider epidemic and ecological models to investigate their coupled dynamics. Starting with the classical Susceptible-Infected-Recovered (SIR) model for basic epidemic behavior and the predator-prey (Lotka-Volterra, LV) system for ecological interactions, we then comb... | https://arxiv.org/abs/2601.09811 | Academic Papers | svg |
6238812d797753652e7663203e882ffc824f1ced2514d94f78b2883b1caa88e3 | 2026-01-16T00:00:00-05:00 | LCF3D: A Robust and Real-Time Late-Cascade Fusion Framework for 3D Object Detection in Autonomous Driving | arXiv:2601.09812v1 Announce Type: new Abstract: Accurately localizing 3D objects like pedestrians, cyclists, and other vehicles is essential in Autonomous Driving. To ensure high detection performance, Autonomous Vehicles complement RGB cameras with LiDAR sensors, but effectively combining these data sources for 3D obj... | https://arxiv.org/abs/2601.09812 | Academic Papers | svg |
a5a736040f57346535a5416843ebfd2ec36f56752bd48a03f31fd1892316be1a | 2026-01-16T00:00:00-05:00 | Explainable Deep Learning for Pediatric Pneumonia Detection in Chest X-Ray Images | arXiv:2601.09814v1 Announce Type: new Abstract: Background: Pneumonia remains a leading cause of morbidity and mortality among children worldwide, emphasizing the need for accurate and efficient diagnostic support tools. Deep learning has shown strong potential in medical image analysis, particularly for chest X-ray in... | https://arxiv.org/abs/2601.09814 | Academic Papers | svg |
916cc8df2e9799849cc9d0884908bb796a69efb52a61c21e0b2aadf65399dde4 | 2026-01-16T00:00:00-05:00 | LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities | arXiv:2601.09822v1 Announce Type: new Abstract: Despite recent advancements in Large Language Models (LLMs), complex Software Engineering (SE) tasks require more collaborative and specialized approaches. This concept paper systematically reviews the emerging paradigm of LLM-based multi-agent systems, examining their ap... | https://arxiv.org/abs/2601.09822 | Academic Papers | svg |
efecccfdb239bf259624b7fa0de19def2a1f55ac4d30c2ab3bd7c1065456cb9f | 2026-01-16T00:00:00-05:00 | NanoSD: Edge Efficient Foundation Model for Real Time Image Restoration | arXiv:2601.09823v1 Announce Type: new Abstract: Latent diffusion models such as Stable Diffusion 1.5 offer strong generative priors that are highly valuable for image restoration, yet their full pipelines remain too computationally heavy for deployment on edge devices. Existing lightweight variants predominantly compre... | https://arxiv.org/abs/2601.09823 | Academic Papers | svg |
a2920813aeae1f14fd4790da6321766ba0b239ad5e76ca413425f1e39bb35fc9 | 2026-01-16T00:00:00-05:00 | Eluder dimension: localise it! | arXiv:2601.09825v1 Announce Type: new Abstract: We establish a lower bound on the eluder dimension of generalised linear model classes, showing that standard eluder dimension-based analysis cannot lead to first-order regret bounds. To address this, we introduce a localisation method for the eluder dimension; our analys... | https://arxiv.org/abs/2601.09825 | Academic Papers | svg |
57095d57d9ea62512af8d72b30746f8f7507119ab632625bb68050ee1429f85c | 2026-01-16T00:00:00-05:00 | UniHash: Unifying Pointwise and Pairwise Hashing Paradigms for Seen and Unseen Category Retrieval | arXiv:2601.09828v1 Announce Type: new Abstract: Effective retrieval across both seen and unseen categories is crucial for modern image retrieval systems. Retrieval on seen categories ensures precise recognition of known classes, while retrieval on unseen categories promotes generalization to novel classes with limited ... | https://arxiv.org/abs/2601.09828 | Academic Papers | svg |
c8744d13587fc9ba0ae413d0e0b211122c66bca2df004a1f2b32b417f0010904 | 2026-01-16T00:00:00-05:00 | A New Convergence Analysis of Plug-and-Play Proximal Gradient Descent Under Prior Mismatch | arXiv:2601.09831v1 Announce Type: new Abstract: In this work, we provide a new convergence theory for plug-and-play proximal gradient descent (PnP-PGD) under prior mismatch where the denoiser is trained on a different data distribution to the inference task at hand. To the best of our knowledge, this is the first conve... | https://arxiv.org/abs/2601.09831 | Academic Papers | svg |
b5dfb04844b91397e5634c28f845117ebdc8d8faaa868db3337dfb29b91bfa69 | 2026-01-16T00:00:00-05:00 | Adoption and Evolution of Code Style and Best Programming Practices in Open-Source Projects | arXiv:2601.09832v1 Announce Type: new Abstract: Following code style conventions in software projects is essential for maintaining overall code quality. Adhering to these conventions improves maintainability, understandability, and extensibility. Additionally, following best practices during software development enhanc... | https://arxiv.org/abs/2601.09832 | Academic Papers | svg |
fb0f3ea06ca6d77ac5e6cccd9ba2128775b74a9cffa278561fddf30fc053c704 | 2026-01-16T00:00:00-05:00 | Stable and Explainable Personality Trait Evaluation in Large Language Models with Internal Activations | arXiv:2601.09833v1 Announce Type: new Abstract: Evaluating personality traits in Large Language Models (LLMs) is key to model interpretation, comparison, and responsible deployment. However, existing questionnaire-based evaluation methods exhibit limited stability and offer little explainability, as their results are h... | https://arxiv.org/abs/2601.09833 | Academic Papers | svg |
5cae24ea5f1b6e6109aab9fbdc893008ad898d0cb275a75aef873891c673909f | 2026-01-16T00:00:00-05:00 | A Risk-Stratified Benchmark Dataset for Bad Randomness (SWC-120) Vulnerabilities in Ethereum Smart Contracts | arXiv:2601.09836v1 Announce Type: new Abstract: Many Ethereum smart contracts rely on block attributes such as block.timestamp or blockhash to generate random numbers for applications like lotteries and games. However, these values are predictable and miner-manipulable, creating the Bad Randomness vulnerability (SWC-12... | https://arxiv.org/abs/2601.09836 | Academic Papers | svg |
8e9d2c10c07e3450570c33857d33aca4424c262c0666ee3be8a4c6dd37ef69b7 | 2026-01-16T00:00:00-05:00 | Interprofessional and Agile Development of Mobirobot: A Socially Assistive Robot for Pediatric Therapy Across Clinical and Therapeutic Settings | arXiv:2601.09838v1 Announce Type: new Abstract: Introduction: Socially assistive robots hold promise for enhancing therapeutic engagement in paediatric clinical settings. However, their successful implementation requires not only technical robustness but also context-sensitive, co-designed solutions. This paper present... | https://arxiv.org/abs/2601.09838 | Academic Papers | svg |
71155163ebc6f6f9c8eb020a1759b0489affd9f6e44637bd00c9d4679eb33321 | 2026-01-16T00:00:00-05:00 | Lazy Evaluation: A Comparative Analysis of SAS MACROs and R Functions | arXiv:2601.09839v1 Announce Type: new Abstract: Lazy evaluation is a powerful technique that can optimize code execution by deferring evaluations until their results are required, thus enhancing efficiency. In most modern programming languages, like R, lazy evaluation is commonly applied to function arguments. However,... | https://arxiv.org/abs/2601.09839 | Academic Papers | svg |
ded2f522da06a0a816f73cb30fc4be5e9a95e5c0ca86fae9356a5b2206a7c2c5 | 2026-01-16T00:00:00-05:00 | A pipeline for enabling path-specific causal fairness in observational health data | arXiv:2601.09841v1 Announce Type: new Abstract: When training machine learning (ML) models for potential deployment in a healthcare setting, it is essential to ensure that they do not replicate or exacerbate existing healthcare biases. Although many definitions of fairness exist, we focus on path-specific causal fairne... | https://arxiv.org/abs/2601.09841 | Academic Papers | svg |
2fc9219d751e88f4f2a1c04948c45c579999f1167a979fa0152751b089994b16 | 2026-01-16T00:00:00-05:00 | On Fun for Teaching Large Programming Courses | arXiv:2601.09842v1 Announce Type: new Abstract: Teaching software development basics to hundreds of students in a frontal setting is cost-efficient and thus still common in universities. However, in a large lecture hall, students can easily get bored, distracted, and disengaged. The frontal setting can also frustrate l... | https://arxiv.org/abs/2601.09842 | Academic Papers | svg |
1eb8abe94c6dde75f9e232b8b44e3a03cfc5b7d5f104514e0714787ba8fda45b | 2026-01-16T00:00:00-05:00 | Strategies of cooperation and defection in five large language models | arXiv:2601.09849v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed to support human decision-making. This use of LLMs has concerning implications, especially when their prescriptions affect the welfare of others. To gauge how LLMs make social decisions, we explore whether five leadin... | https://arxiv.org/abs/2601.09849 | Academic Papers | svg |
b5228cee1c8b52c1ff8dad90b691b0afa204ab8654255275345612b155c055af | 2026-01-16T00:00:00-05:00 | ViSIL: Unified Evaluation of Information Loss in Multimodal Video Captioning | arXiv:2601.09851v1 Announce Type: new Abstract: Multimodal video captioning condenses dense footage into a structured format of keyframes and natural language. By creating a cohesive multimodal summary, this approach anchors generative AI in rich semantic evidence and serves as a lightweight proxy for high-efficiency r... | https://arxiv.org/abs/2601.09851 | Academic Papers | svg |
7512d88862c4453b5070dca3a4e5a0ef22f0ce791760e8b42c0965d9bc990080 | 2026-01-16T00:00:00-05:00 | Bears, all bears, and some bears. Language Constraints on Language Models' Inductive Inferences | arXiv:2601.09852v1 Announce Type: new Abstract: Language places subtle constraints on how we make inductive inferences. Developmental evidence by Gelman et al. (2002) has shown children (4 years and older) to differentiate among generic statements ("Bears are daxable"), universally quantified NPs ("all bears are daxabl... | https://arxiv.org/abs/2601.09852 | Academic Papers | svg |
c91d109e52f96035f5e8f5d54d838d6c3b6f1172828ffd449e02a7d0224e26cb | 2026-01-16T00:00:00-05:00 | MedRedFlag: Investigating how LLMs Redirect Misconceptions in Real-World Health Communication | arXiv:2601.09853v1 Announce Type: new Abstract: Real-world health questions from patients often unintentionally embed false assumptions or premises. In such cases, safe medical communication typically involves redirection: addressing the implicit misconception and then responding to the underlying patient context, rath... | https://arxiv.org/abs/2601.09853 | Academic Papers | svg |
704246adde3cca462a8bbe2c33ff9f9e06d58353cf55460fb27d507d8b3d0ac1 | 2026-01-16T00:00:00-05:00 | Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models | arXiv:2601.09855v1 Announce Type: new Abstract: Sequential test-time scaling is a promising training-free method to improve large reasoning model accuracy, but as currently implemented, significant limitations have been observed. Inducing models to think for longer can increase their accuracy, but as the length of reas... | https://arxiv.org/abs/2601.09855 | Academic Papers | svg |
b6d564e15edeec36ecc2e30d8b0376d42a4a88ea533b1451bbad025eb36e3ae5 | 2026-01-16T00:00:00-05:00 | How Human Motion Prediction Quality Shapes Social Robot Navigation Performance in Constrained Spaces | arXiv:2601.09856v1 Announce Type: new Abstract: Motivated by the vision of integrating mobile robots closer to humans in warehouses, hospitals, manufacturing plants, and the home, we focus on robot navigation in dynamic and spatially constrained environments. Ensuring human safety, comfort, and efficiency in such setti... | https://arxiv.org/abs/2601.09856 | Academic Papers | svg |
390fbb43b095709deda3641b4a72a9142922593c8c9272b9d075719c598cd5ae | 2026-01-16T00:00:00-05:00 | OUTLINEFORGE: Hierarchical Reinforcement Learning with Explicit States for Scientific Writing | arXiv:2601.09858v1 Announce Type: new Abstract: Scientific paper generation requires document-level planning and factual grounding, but current large language models, despite their strong local fluency, often fail in global structure, input coverage, and citation consistency. We present a reinforcement learning framewo... | https://arxiv.org/abs/2601.09858 | Academic Papers | svg |
5bc525c3d57f65d854aff13c6d8e2443455a1195789e24ca27b61a0df5052e67 | 2026-01-16T00:00:00-05:00 | Breaking the Limits of Open-Weight CLIP: An Optimization Framework for Self-supervised Fine-tuning of CLIP | arXiv:2601.09859v1 Announce Type: new Abstract: CLIP has become a cornerstone of multimodal representation learning, yet improving its performance typically requires a prohibitively costly process of training from scratch on billions of samples. We ask a different question: Can we improve the performance of open-weight... | https://arxiv.org/abs/2601.09859 | Academic Papers | svg |
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