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8aa08b213b083fcdf63ace50068f845bf490664d274158eb8e29ad6203ff22c1 | 2026-01-13T00:00:00-05:00 | A Recommendation System-Based Framework for Enhancing Human-Machine Collaboration in Industrial Timetabling Rescheduling: Application in Preventive Maintenance | arXiv:2601.06029v1 Announce Type: new Abstract: Industrial timetabling is a critical task for decision-makers across various sectors to ensure efficient system operation. In real-world settings, it remains challenging because unexpected events often disrupt execution. When such events arise, effective rescheduling and ... | https://arxiv.org/abs/2601.06029 | Academic Papers | svg |
fb788de6911c10ca9ed3d6a57ca576fd2419a0c81797ab107521cde04c160a1e | 2026-01-13T00:00:00-05:00 | From Augmentation to Symbiosis: A Review of Human-AI Collaboration Frameworks, Performance, and Perils | arXiv:2601.06030v1 Announce Type: new Abstract: This paper offers a concise, 60-year synthesis of human-AI collaboration, from Licklider's ``man-computer symbiosis" (AI as colleague) and Engelbart's ``augmenting human intellect" (AI as tool) to contemporary poles: Human-Centered AI's ``supertool" and Symbiotic Intellig... | https://arxiv.org/abs/2601.06030 | Academic Papers | svg |
abb3e66087d0c869a04b0f3f2ea832b04103d1f2782d6131e8a2e46d7b6b1278 | 2026-01-13T00:00:00-05:00 | Beyond Clicking:A Step Towards Generalist GUI Grounding via Text Dragging | arXiv:2601.06031v1 Announce Type: new Abstract: Graphical user interface (GUI) grounding, the process of mapping human instructions to GUI actions, serves as a fundamental basis to autonomous GUI agents. While existing grounding models achieve promising performance to simulate the mouse click action on various click-ba... | https://arxiv.org/abs/2601.06031 | Academic Papers | svg |
5e46937ca161652adeae3a0db34f3bdeaffc7131219ed30a298b8c5d61f57f3a | 2026-01-13T00:00:00-05:00 | Applied Theory of Mind and Large Language Models - how good is ChatGPT at solving social vignettes? | arXiv:2601.06032v1 Announce Type: new Abstract: The rapid development of language-based artificial intelligence (AI) offers new possibilities for psychotherapy and assistive systems, particularly benefitting autistic individuals who often respond well to technology. Parents of autistic persons emphasize the importance ... | https://arxiv.org/abs/2601.06032 | Academic Papers | svg |
04f3d17c9076419e98167e13e24adfb01ba62b3ca9a22232189a2717f34bb4e3 | 2026-01-13T00:00:00-05:00 | How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape | arXiv:2601.06033v1 Announce Type: new Abstract: Generative AI (GenAI) is a powerful technology poised to reshape Trust & Safety. While misuse by attackers is a growing concern, its defensive capacity remains underexplored. This paper examines these effects through a qualitative study with 43 Trust & Safety experts acro... | https://arxiv.org/abs/2601.06033 | Academic Papers | svg |
ac5567e460ace83226c8906849088da8fe1b3a29623ddc311e1c880de51db983 | 2026-01-13T00:00:00-05:00 | Autonomous QA Agent: A Retrieval-Augmented Framework for Reliable Selenium Script Generation | arXiv:2601.06034v1 Announce Type: new Abstract: Software testing is critical in the software development lifecycle, yet translating requirements into executable test scripts remains manual and error-prone. While Large Language Models (LLMs) can generate code, they often hallucinate non-existent UI elements. We present ... | https://arxiv.org/abs/2601.06034 | Academic Papers | svg |
2c61bfe67cc51cff63cdfbec734c930e462acb639ec354732492fefb4a182b67 | 2026-01-13T00:00:00-05:00 | Investigating Anthropometric Fidelity in SAM 3D Body | arXiv:2601.06035v1 Announce Type: new Abstract: The recent release of SAM 3D Body \cite{sam3dbody2025} marks a significant milestone in human mesh recovery, demonstrating state-of-the-art performance in producing clean, topologically coherent meshes from single images. By leveraging the novel Momentum Human Rig (MHR), ... | https://arxiv.org/abs/2601.06035 | Academic Papers | svg |
296cfcd7a01f0c4d3c4cb3c68f78cbb7810a171df1a28ae624370b99d11aa82f | 2026-01-13T00:00:00-05:00 | Tree-Preconditioned Differentiable Optimization and Axioms as Layers | arXiv:2601.06036v1 Announce Type: new Abstract: This paper introduces a differentiable framework that embeds the axiomatic structure of Random Utility Models (RUM) directly into deep neural networks. Although projecting empirical choice data onto the RUM polytope is NP-hard in general, we uncover an isomorphism between... | https://arxiv.org/abs/2601.06036 | Academic Papers | svg |
ef196db24407add0406efe2fff27c1e304c94dd1fbdb153b5dd20822f387b1e7 | 2026-01-13T00:00:00-05:00 | TeleMem: Building Long-Term and Multimodal Memory for Agentic AI | arXiv:2601.06037v1 Announce Type: new Abstract: Large language models (LLMs) excel at many NLP tasks but struggle to sustain long-term interactions due to limited attention over extended dialogue histories. Retrieval-augmented generation (RAG) mitigates this issue but lacks reliable mechanisms for updating or refining ... | https://arxiv.org/abs/2601.06037 | Academic Papers | svg |
aa05e57f06859614723da3b56f71f985563da4a49e236735112ed7aa09ba0432 | 2026-01-13T00:00:00-05:00 | Developing Bayesian probabilistic reasoning capacity in HSS disciplines: Qualitative evaluation on bayesvl and BMF analytics for ECRs | arXiv:2601.06038v1 Announce Type: new Abstract: Methodological innovations have become increasingly critical in the humanities and social sciences (HSS) as researchers confront complex, nonlinear, and rapidly evolving socio-environmental systems. On the other hand, while Early Career Researchers (ECRs) continue to face... | https://arxiv.org/abs/2601.06038 | Academic Papers | svg |
a355df06797e10a9fca69e1d474fefb3f138068e3e4c3e1012d0c43fad28fef8 | 2026-01-13T00:00:00-05:00 | Operation Veja: Fixing Fundamental Concepts Missing from Modern Roleplaying Training Paradigms | arXiv:2601.06039v1 Announce Type: new Abstract: Modern roleplaying models are increasingly sophisticated, yet they consistently struggle to capture the essence of believable, engaging characters. We argue this failure stems from training paradigms that overlook the dynamic interplay of a character's internal world. Cur... | https://arxiv.org/abs/2601.06039 | Academic Papers | svg |
b6ccbf5dcd12cec320906cecfb4b3bc71d3c2d29f01f8c078bddfb1c530f142e | 2026-01-13T00:00:00-05:00 | Cognitive Sovereignty and the Neurosecurity Governance Gap: Evidence from Singapore | arXiv:2601.06040v1 Announce Type: new Abstract: As brain computer interfaces (BCIs) transition from experimental medical systems to consumer and military adjacent technologies, they introduce a novel security domain in which the human nervous system becomes a networked and contestable substrate. Existing frameworks for... | https://arxiv.org/abs/2601.06040 | Academic Papers | svg |
f74df02052ce38cad464acf21fe271b4e8f4f671d086067a35920a998d0581e7 | 2026-01-13T00:00:00-05:00 | Lexical and Statistical Analysis of Bangla Newspaper and Literature: A Corpus-Driven Study on Diversity, Readability, and NLP Adaptation | arXiv:2601.06041v1 Announce Type: new Abstract: In this paper, we present a comprehensive corpus-driven analysis of Bangla literary and newspaper texts to investigate their lexical diversity, structural complexity and readability. We undertook Vacaspati and IndicCorp, which are the most extensive literature and newspap... | https://arxiv.org/abs/2601.06041 | Academic Papers | svg |
ab66510d41238fcaedc5c843ce5b35e83f78e9c128239fab52f75db12c6b6df9 | 2026-01-13T00:00:00-05:00 | CrossTrafficLLM: A Human-Centric Framework for Interpretable Traffic Intelligence via Large Language Model | arXiv:2601.06042v1 Announce Type: new Abstract: While accurate traffic forecasting is vital for Intelligent Transportation Systems (ITS), effectively communicating predicted conditions via natural language for human-centric decision support remains a challenge and is often handled separately. To address this, we propos... | https://arxiv.org/abs/2601.06042 | Academic Papers | svg |
2fb3341e84a8c299d7a2f70515fe8d2ebeebea070e57842c296517a23ddce218 | 2026-01-13T00:00:00-05:00 | Teachers' Perspectives on Integrating AI tools in Classrooms: Insights from the Philippines | arXiv:2601.06043v1 Announce Type: new Abstract: This study explores the attitudes, reservations, readiness, openness, and general perceptions of Filipino teachers in terms of integrating Al in their classrooms. Results shows that teachers express positive attitude towards integrating Al tools in their classrooms. Despi... | https://arxiv.org/abs/2601.06043 | Academic Papers | svg |
34172263b1ee72677a6d48784e57b0005b88203a1da26e6cc22519ee79c91829 | 2026-01-13T00:00:00-05:00 | Assessing novice programmers' perception of ChatGPT:performance, risk, decision-making, and intentions | arXiv:2601.06044v1 Announce Type: new Abstract: This study explores the novice programmers' intention to use chat generative pretrained transformer (ChatGPT) for programming tasks with emphasis on performance expectancy (PE), risk-reward appraisal (RRA), and decision-making (DM). Utilizing partial least squares structu... | https://arxiv.org/abs/2601.06044 | Academic Papers | svg |
841cb243685feeca04614637fb2b5ed6956bf00a3eb40d2a7b048bde6bdcf625 | 2026-01-13T00:00:00-05:00 | Assessing the Carbon Footprint of Virtual Meetings: A Quantitative Analysis of Camera Usage | arXiv:2601.06045v1 Announce Type: new Abstract: This paper analyzes the carbon emissions related to data consumption during video calls, focusing on the impact of having the camera on versus off. Addresses the energy efficiency and carbon footprint of digital communication tools. The study is used to quantify the real ... | https://arxiv.org/abs/2601.06045 | Academic Papers | svg |
e7e8951c3a28d68bca16ac3432cff497ad52c9d921cf0545ccb25a7dbd4bfa71 | 2026-01-13T00:00:00-05:00 | ISMS-CR: Modular Framework for Safety Management in Central Railway Workshop | arXiv:2601.06046v1 Announce Type: new Abstract: Indian Railway workshops form the backbone of rolling-stock maintenance, employing over 250,000 workers across 44 major workshops nationwide. Despite their scale and operational importance, workshop safety remains a persistent challenge. A field study conducted at the Jha... | https://arxiv.org/abs/2601.06046 | Academic Papers | svg |
db1d0fea2533fa25acc863f584f034b6273001e905142b6f2461198ef3af8d69 | 2026-01-13T00:00:00-05:00 | "They parted illusions -- they parted disclaim marinade": Misalignment as structural fidelity in LLMs | arXiv:2601.06047v1 Announce Type: new Abstract: The prevailing technical literature in AI Safety interprets scheming and sandbagging behaviors in large language models (LLMs) as indicators of deceptive agency or hidden objectives. This transdisciplinary philosophical essay proposes an alternative reading: such phenomen... | https://arxiv.org/abs/2601.06047 | Academic Papers | svg |
1a1d353b9c0033b32595148b64b1db1ad5b80fe29c1fe84667cdcaadf15ab8b8 | 2026-01-13T00:00:00-05:00 | Reliability and Admissibility of AI-Generated Forensic Evidence in Criminal Trials | arXiv:2601.06048v1 Announce Type: new Abstract: This paper examines the admissibility of AI-generated forensic evidence in criminal trials. The growing adoption of AI presents promising results for investigative efficiency. Despite advancements, significant research gaps persist in practically understanding the legal l... | https://arxiv.org/abs/2601.06048 | Academic Papers | svg |
bb08cee121f856d256d9026deea6061da7b3581c5aaa3fc903c66ab08187d912 | 2026-01-13T00:00:00-05:00 | The Violation State: Safety State Persistence in a Multimodal Language Model Interface | arXiv:2601.06049v1 Announce Type: new Abstract: Multimodal AI systems integrate text generation, image generation, and other capabilities within a single conversational interface. These systems employ safety mechanisms to prevent disallowed actions, including the removal of watermarks from copyrighted images. While sin... | https://arxiv.org/abs/2601.06049 | Academic Papers | svg |
cab94b6096c24332d18c58ab393d218347658d32442f5bb2bb0189288f71b282 | 2026-01-13T00:00:00-05:00 | Nigeria's Digital Sovereignty: Analysis of Cybersecurity Legislation, Policies, and Strategies | arXiv:2601.06050v1 Announce Type: new Abstract: This paper examines Nigeria's pursuit of digital sovereignty through two core instruments: the Cybercrimes (Prohibition, Prevention, etc.) Act and the National Cybersecurity Policy and Strategy (NCPS). Despite recent reforms, it remains unclear whether these frameworks ef... | https://arxiv.org/abs/2601.06050 | Academic Papers | svg |
f42bb4f01c693da8f731cb785e65241c7458b0a052b159e62ea794dbdd5f952a | 2026-01-13T00:00:00-05:00 | Digital health transformation in Quebec: assessment of interoperability and governance strategies | arXiv:2601.06051v1 Announce Type: new Abstract: The rapid expansion of health data has led to unprecedented information availability within healthcare systems. Health information systems (HIS) play a central role in managing this data and enabling improvements in care delivery, system performance, and population health... | https://arxiv.org/abs/2601.06051 | Academic Papers | svg |
38d23a5fcd8182ff034c12ab416d537a58cc0350e68163db958ac95761f4bb0d | 2026-01-13T00:00:00-05:00 | Reinforcement Learning for Chain of Thought Compression with One-Domain-to-All Generalization | arXiv:2601.06052v1 Announce Type: new Abstract: Chain-of-thought reasoning in large language models often creates an "overthinking trap," leading to excessive computational cost and latency for unreliable accuracy gains. Prior work has typically relied on global, static controls that risk penalizing necessary reasoning... | https://arxiv.org/abs/2601.06052 | Academic Papers | svg |
3e976d548dd1c9c6f4f84faf657399344d66c9f9bd84b3f2cd10b0722f3bb04e | 2026-01-13T00:00:00-05:00 | Sports Business Administration and New Age Technology: Role of AI | arXiv:2601.06053v1 Announce Type: new Abstract: This chapter explores the complexities of sports governance, taxation, dispute resolution, and the impact of digital transformation within the sports sector. This study identifies a critical research gap regarding the integration of innovative technologies to enhance gove... | https://arxiv.org/abs/2601.06053 | Academic Papers | svg |
ebaf78238cdcb3b159895132d6a1b7ed317ed89e2d62d9a465fdbda291a29b3d | 2026-01-13T00:00:00-05:00 | A Multi-Stage Workflow for the Review of Marketing Content with Reasoning Large Language Models | arXiv:2601.06054v1 Announce Type: new Abstract: Reasoning Large Language Models (LLMs) have shown promising results when tasked with solving complex problems. In this paper, we propose and evaluate a multi-stage workflow that leverages the capabilities of fine-tuned reasoning LLMs to assist in the review process of mar... | https://arxiv.org/abs/2601.06054 | Academic Papers | svg |
074454536f7539d6a6a914b2b04bcda62eace40b6078dfe42b02fc17f7d52079 | 2026-01-13T00:00:00-05:00 | Investigating How MacBook Accessories Evolve across Generations, and Their Potential Environmental, Economical Impacts | arXiv:2601.06055v1 Announce Type: new Abstract: The technological transition of MacBook charging solutions from MagSafe to USB-C, followed by a return to MagSafe 3, encapsulates the dynamic interplay between technological advancement, environmental considerations, and economic factors. This study delves into the broad ... | https://arxiv.org/abs/2601.06055 | Academic Papers | svg |
ed76b7ab478bc13393f0a52e1879afcb6446b84eb95ea37da01b068cb86fdc16 | 2026-01-13T00:00:00-05:00 | Using street view images and visual LLMs to predict heritage values for governance support: Risks, ethics, and policy implications | arXiv:2601.06056v1 Announce Type: new Abstract: During 2025 and 2026, the Energy Performance of Buildings Directive is being implemented in the European Union member states, requiring all member states to have National Building Renovation Plans. In Sweden, there is a lack of a national register of buildings with herita... | https://arxiv.org/abs/2601.06056 | Academic Papers | svg |
b3af0d9eacb3b434b2ef34bb4cf6589d877c8b41c7bb816521793509f5925a43 | 2026-01-13T00:00:00-05:00 | Data Work in Egypt: Who Are the Workers Behind Artificial Intelligence? | arXiv:2601.06057v1 Announce Type: new Abstract: The report highlights the role of Egyptian data workers in the global value chains of Artificial Intelligence (AI). These workers generate and annotate data for machine learning, check outputs, and they connect with overseas AI producers via international digital labor pl... | https://arxiv.org/abs/2601.06057 | Academic Papers | svg |
406ad23d6ea94aa5070ca95c1dab1af4e6370497f57c37da628294dcc5bb296f | 2026-01-13T00:00:00-05:00 | Teacher training in inclusive digital skills in secondary education. Students with Autism Spectrum Disorders | arXiv:2601.06058v1 Announce Type: new Abstract: In contemporary society, marked by rapid technological evolution, education faces the challenge and the opportunity of incorporating new digital tools that transform learning, making it more inclusive, flexible, and meaningful. This book aligns with this commitment to edu... | https://arxiv.org/abs/2601.06058 | Academic Papers | svg |
899892d5200cf16b7c8ed45201bc2d267117b23c81c695295bef728a067f6010 | 2026-01-13T00:00:00-05:00 | Context Video Semantic Transmission with Variable Length and Rate Coding over MIMO Channels | arXiv:2601.06059v1 Announce Type: new Abstract: The evolution of semantic communications has profoundly impacted wireless video transmission, whose applications dominate driver of modern bandwidth consumption. However, most existing schemes are predominantly optimized for simple additive white Gaussian noise or Rayleig... | https://arxiv.org/abs/2601.06059 | Academic Papers | svg |
ac273fc448c3a1021075a5b291007e76963ee34e48ac9516a01f2aca44564986 | 2026-01-13T00:00:00-05:00 | Why Slop Matters | arXiv:2601.06060v1 Announce Type: new Abstract: AI-generated "slop" is often seen as digital pollution. We argue that this dismissal of the topic risks missing important aspects of AI Slop that deserve rigorous study. AI Slop serves a social function: it offers a supply-side solution to a variety of problems in cultura... | https://arxiv.org/abs/2601.06060 | Academic Papers | svg |
72047b5f24daa12f35ae3e9fbcf8426e8d7124607c9e2d66ab4d68be4c8717df | 2026-01-13T00:00:00-05:00 | AI Application Operations -- A Socio-Technical Framework for Data-driven Organizations | arXiv:2601.06061v1 Announce Type: new Abstract: We outline a comprehensive framework for artificial intelligence (AI) Application Operations (AIAppOps), based on real-world experiences from diverse organizations. Data-driven projects pose additional challenges to organizations due to their dependency on data across the... | https://arxiv.org/abs/2601.06061 | Academic Papers | svg |
81a69eed88050aba4cefd9194361c50da4f98df515d3ece3e3b89916451d5e5f | 2026-01-13T00:00:00-05:00 | From Values to Frameworks: A Qualitative Study of Ethical Reasoning in Agentic AI Practitioners | arXiv:2601.06062v1 Announce Type: new Abstract: Agentic artificial intelligence systems are autonomous technologies capable of pursuing complex goals with minimal human oversight and are rapidly emerging as the next frontier in AI. While these systems promise major gains in productivity, they also raise new ethical cha... | https://arxiv.org/abs/2601.06062 | Academic Papers | svg |
457ad6c98d9adfe9539a77343792b46270d48f736c345defbd9bac31adb3db71 | 2026-01-13T00:00:00-05:00 | The Environmental Impact of AI Servers and Sustainable Solutions | arXiv:2601.06063v1 Announce Type: new Abstract: The rapid expansion of artificial intelligence has significantly increased the electricity, water, and carbon demands of modern data centers, raising sustainability concerns. This study evaluates the environmental footprint of AI server operations and examines feasible te... | https://arxiv.org/abs/2601.06063 | Academic Papers | svg |
6c6b0def973049ebb18b1a268a15da068bfc35a15886f4e5b6ac87cbefed175b | 2026-01-13T00:00:00-05:00 | Socio-technical aspects of Agentic AI | arXiv:2601.06064v1 Announce Type: new Abstract: Agentic Artificial Intelligence (AI) represents a fundamental shift in the design of intelligent systems, characterized by interconnected components that collectively enable autonomous perception, reasoning, planning, action, and learning. Recent research on agentic AI ha... | https://arxiv.org/abs/2601.06064 | Academic Papers | svg |
e9a42893dc21d07d3e80dc8cf0a3a45529fac8d5f78b730153d05e0d399e6045 | 2026-01-13T00:00:00-05:00 | Enabling Long FFT Convolutions on Memory-Constrained FPGAs via Chunking | arXiv:2601.06065v1 Announce Type: new Abstract: The need for long-context reasoning has led to alternative neural network architectures besides Transformers and self-attention, a popular model being Hyena, which employs causal 1D-convolutions implemented with FFTs. Long convolutions enable efficient global context mixi... | https://arxiv.org/abs/2601.06065 | Academic Papers | svg |
624306e89d8c51d1390879facd29ec9e2593cd3e7f5bc0a515bad6787a8ffa71 | 2026-01-13T00:00:00-05:00 | TEAS: Trusted Educational AI Standard: A Framework for Verifiable, Stable, Auditable, and Pedagogically Sound Learning Systems | arXiv:2601.06066v1 Announce Type: new Abstract: The rapid integration of AI into education has prioritized capability over trustworthiness, creating significant risks. Real-world deployments reveal that even advanced models are insufficient without extensive architectural scaffolding to ensure reliability. Current eval... | https://arxiv.org/abs/2601.06066 | Academic Papers | svg |
85867ff8da4f19d798532dc4f7a967fb05890c9eeb0accdd522d40c06acb5c5f | 2026-01-13T00:00:00-05:00 | HyperTopo-Adapters: Geometry- and Topology-Aware Segmentation of Leaf Lesions on Frozen Encoders | arXiv:2601.06067v1 Announce Type: new Abstract: Leaf-lesion segmentation is topology-sensitive: small merges, splits, or false holes can be biologically meaningful descriptors of biochemical pathways, yet they are weakly penalized by standard pixel-wise losses in Euclidean latents. I explore HyperTopo-Adapters, a light... | https://arxiv.org/abs/2601.06067 | Academic Papers | svg |
c648a522554aca047e767f19c03f0f8404cd5d117f53d7d2355415dc8fecd943 | 2026-01-13T00:00:00-05:00 | La norme technique comme catalyseur de transfert de connaissances : la francophonie a l'{\oe}uvre dans le domaine de l'{\'e}ducation | arXiv:2601.06069v1 Announce Type: new Abstract: Standards are adopted in a wide range of fields, both technical and industrial, as well as socio-economic, cultural and linguistic. They are presented explicitly as laws and regulations, technical and industrial standards or implicitly in the form of unwritten social stan... | https://arxiv.org/abs/2601.06069 | Academic Papers | svg |
af9f2fe6ac47606a74218ea30d9e00fc28b200ead584adc28ebc792d6baf9bb4 | 2026-01-13T00:00:00-05:00 | PDA in Action: Ten Principles for High-Quality Multi-Site Clinical Evidence Generation | arXiv:2601.06072v1 Announce Type: new Abstract: Background: Distributed Research Networks (DRNs) offer significant opportunities for collaborative multi-site research and have significantly advanced healthcare research based on clinical observational data. However, generating high-quality real-world evidence using fit-... | https://arxiv.org/abs/2601.06072 | Academic Papers | svg |
025351c96263bbbec87c1178065c39c479767422cc02f9b0fb8f61785100eb4d | 2026-01-13T00:00:00-05:00 | Jamming Detection in Cell-Free MIMO with Dynamic Graphs | arXiv:2601.06075v1 Announce Type: new Abstract: Jamming attacks pose a critical threat to wireless networks, particularly in cell-free massive MIMO systems, where distributed access points and user equipment (UE) create complex, time-varying topologies. This paper proposes a novel jamming detection framework leveraging... | https://arxiv.org/abs/2601.06075 | Academic Papers | svg |
a8bff08892bf47e848b5d25026151b777ba2554c2fcaa13c40a07da48f7b9ef2 | 2026-01-13T00:00:00-05:00 | One if by Land, Two if by Sea, Three if by Four Seas, and More to Come -- Values of Perception, Prediction, Communication, and Common Sense in Decision Making | arXiv:2601.06077v1 Announce Type: new Abstract: This work aims to rigorously define the values of perception, prediction, communication, and common sense in decision making. The defined quantities are decision-theoretic, but have information-theoretic analogues, e.g., they share some simple but key mathematical propert... | https://arxiv.org/abs/2601.06077 | Academic Papers | svg |
b60b46a8e2e70a578d858208f0be53a48af7ded17981e0071fe713d9837365ff | 2026-01-13T00:00:00-05:00 | OptFormer: Optical Flow-Guided Attention and Phase Space Reconstruction for SST Forecasting | arXiv:2601.06078v1 Announce Type: new Abstract: Sea Surface Temperature (SST) prediction plays a vital role in climate modeling and disaster forecasting. However, it remains challenging due to its nonlinear spatiotemporal dynamics and extended prediction horizons. To address this, we propose OptFormer, a novel encoder-... | https://arxiv.org/abs/2601.06078 | Academic Papers | svg |
ddbdf4167474fdf054529af80459ba83c87ea71f2fe1a7f7fd566df1557fe892 | 2026-01-13T00:00:00-05:00 | AzeroS: Extending LLM to Speech with Self-Generated Instruction-Free Tuning | arXiv:2601.06086v1 Announce Type: new Abstract: Extending large language models (LLMs) to the speech domain has recently gained significant attention. A typical approach connects a pretrained LLM with an audio encoder through a projection module and trains the resulting model on large-scale, task-specific instruction-t... | https://arxiv.org/abs/2601.06086 | Academic Papers | svg |
bb1d83003758f5909583559eff995fe97e7748b18a2f28cd1e2ca3f1a264e15c | 2026-01-13T00:00:00-05:00 | The AI Roles Continuum: Blurring the Boundary Between Research and Engineering | arXiv:2601.06087v1 Announce Type: new Abstract: The rapid scaling of deep neural networks and large language models has collapsed the once-clear divide between "research" and "engineering" in AI organizations. Drawing on a qualitative synthesis of public job descriptions, hiring criteria, and organizational narratives ... | https://arxiv.org/abs/2601.06087 | Academic Papers | svg |
01dd09aef0b4aa604163b22111b0d33c3f0d1e15e07211d5852e57f18f0ce8d1 | 2026-01-13T00:00:00-05:00 | Islamic Chatbots in the Age of Large Language Models | arXiv:2601.06092v1 Announce Type: new Abstract: Large Language Models (LLMs) are rapidly transforming how communities access, interpret, and circulate knowledge, and religious communities are no exception. Chatbots powered by LLMs are beginning to reshape authority, pedagogy, and everyday religious practice in Muslim c... | https://arxiv.org/abs/2601.06092 | Academic Papers | svg |
c2856400fbd7ff0ed420322ec8dc1806ac9d737c8e745e56e37de11dedeb4aaf | 2026-01-13T00:00:00-05:00 | GenAITEd Ghana_A Blueprint Prototype for Context-Aware and Region-Specific Conversational AI Agent for Teacher Education | arXiv:2601.06093v1 Announce Type: new Abstract: Global frameworks increasingly advocate for Responsible Artificial Intelligence (AI) in education, yet they provide limited guidance on how ethical, culturally responsive, and curriculum-aligned AI can be operationalized within functioning teacher education systems, parti... | https://arxiv.org/abs/2601.06093 | Academic Papers | svg |
ba5b348f4db67edda1b57a97a7f620fb653c0d971aacc79e090571a75fc58cea | 2026-01-13T00:00:00-05:00 | Deep Q-Network Based Resilient Drone Communication:Neutralizing First-Order Markov Jammers | arXiv:2601.06095v1 Announce Type: new Abstract: Deep Reinforcement Learning based solution for jamming communications using Frequency Hopping Spread Spectrum technology in a 16 channel radio environment is presented. Deep Q Network based transmitter continuously selects the next frequency hopping channel while facing f... | https://arxiv.org/abs/2601.06095 | Academic Papers | svg |
b7294adb0dfdd5a212c1e0a3b7fc51aecbe8b2997aa6d77400b3f8afa37ff43b | 2026-01-13T00:00:00-05:00 | The Hessian of tall-skinny networks is easy to invert | arXiv:2601.06096v1 Announce Type: new Abstract: We describe an exact algorithm for solving linear systems $Hx=b$ where $H$ is the Hessian of a deep net. The method computes Hessian-inverse-vector products without storing the Hessian or its inverse in time and storage that scale linearly in the number of layers. Compare... | https://arxiv.org/abs/2601.06096 | Academic Papers | svg |
9a013adda23e1f544d8fda5e7dd6d5e0d0239fcf024c2584ff74f4b488aa9cfe | 2026-01-13T00:00:00-05:00 | Semantic Event Graphs for Long-Form Video Question Answering | arXiv:2601.06097v1 Announce Type: new Abstract: Long-form video question answering remains challenging for modern vision-language models, which struggle to reason over hour-scale footage without exceeding practical token and compute budgets. Existing systems typically downsample frames or feed dense visual embeddings t... | https://arxiv.org/abs/2601.06097 | Academic Papers | svg |
a31f9286940bb24b92ff6c825cea855e96c7660eb04e02b84edde075b77ad9ac | 2026-01-13T00:00:00-05:00 | Automatic Question Generation for Intuitive Learning Utilizing Causal Graph Guided Chain of Thought Reasoning | arXiv:2601.06098v1 Announce Type: new Abstract: Intuitive learning is crucial for developing deep conceptual understanding, especially in STEM education, where students often struggle with abstract and interconnected concepts. Automatic question generation has become an effective strategy for personalized and adaptive ... | https://arxiv.org/abs/2601.06098 | Academic Papers | svg |
3cb50669565766ea6dc863faef41b1ff043c9dbb7114f456b3f5b66074e9b14f | 2026-01-13T00:00:00-05:00 | Filtering Beats Fine Tuning: A Bayesian Kalman View of In Context Learning in LLMs | arXiv:2601.06100v1 Announce Type: new Abstract: We present a theory-first framework that interprets inference-time adaptation in large language models (LLMs) as online Bayesian state estimation. Rather than modeling rapid adaptation as implicit optimization or meta-learning, we formulate task- and context-specific lear... | https://arxiv.org/abs/2601.06100 | Academic Papers | svg |
7469d90bc0147b67874e2196cfc369ef3152ec368282b34e9ae0cb7aa8cf7fd6 | 2026-01-13T00:00:00-05:00 | How to Assess AI Literacy: Misalignment Between Self-Reported and Objective-Based Measures | arXiv:2601.06101v1 Announce Type: new Abstract: The widespread adoption of Artificial Intelligence (AI) in K-12 education highlights the need for psychometrically-tested measures of teachers' AI literacy. Existing work has primarily relied on either self-report (SR) or objective-based (OB) assessments, with few studies... | https://arxiv.org/abs/2601.06101 | Academic Papers | svg |
5b6d9d1cb5584d62defda5913911c8dfa3e6e1af51cb3eb15dbe87ba41669962 | 2026-01-13T00:00:00-05:00 | Dynamic Intelligence Ceilings: Measuring Long-Horizon Limits of Planning and Creativity in Artificial Systems | arXiv:2601.06102v1 Announce Type: new Abstract: Recent advances in artificial intelligence have produced systems capable of remarkable performance across a wide range of tasks. These gains, however, are increasingly accompanied by concerns regarding long-horizon developmental behavior, as many systems converge toward r... | https://arxiv.org/abs/2601.06102 | Academic Papers | svg |
60ef2e0ba4496dd805143e1d8a801cca3ecc0f675a4306f4ab5e6fa14d71696c | 2026-01-13T00:00:00-05:00 | The Impact of Post-training on Data Contamination | arXiv:2601.06103v1 Announce Type: new Abstract: We present a controlled study of how dataset contamination interacts with the post-training stages now standard in large language model training pipelines. Starting from clean checkpoints of Qwen2.5 (0.5B/1.5B) and Gemma3 (1B/4B), we inject five copies of GSM8K and MBPP t... | https://arxiv.org/abs/2601.06103 | Academic Papers | svg |
11296f2acd6eba99af8a0faa10c0644e1f4a3598bfb7acecec7614fbd88a8ca4 | 2026-01-13T00:00:00-05:00 | Comment on arXiv:2511.21731v1: Identifying Quantum Structure in AI Language: Evidence for Evolutionary Convergence of Human and Artificial Cognition | arXiv:2601.06104v1 Announce Type: new Abstract: This note is a friendly technical check of arXiv:2511.21731v1. I highlight a few places where the manuscript's interpretation of (i) the reported CHSH/Bell-type calculations and (ii) Bose--Einstein (BE) fits to rank-frequency data seems to go beyond what the stated proced... | https://arxiv.org/abs/2601.06104 | Academic Papers | svg |
91caacd86092d47fac79265b4821ba6106f0b52aa02140dfbb83097291370c1e | 2026-01-13T00:00:00-05:00 | Australian Bushfire Intelligence with AI-Driven Environmental Analytics | arXiv:2601.06105v1 Announce Type: new Abstract: Bushfires are among the most destructive natural hazards in Australia, causing significant ecological, economic, and social damage. Accurate prediction of bushfire intensity is therefore essential for effective disaster preparedness and response. This study examines the p... | https://arxiv.org/abs/2601.06105 | Academic Papers | svg |
fa7319cf4b3571da6b55648e021ace46addbd4cfc6a190b4d94491e6b8743e62 | 2026-01-13T00:00:00-05:00 | Judge Model for Large-scale Multimodality Benchmarks | arXiv:2601.06106v1 Announce Type: new Abstract: We propose a dedicated multimodal Judge Model designed to provide reliable, explainable evaluation across a diverse suite of tasks. Our benchmark spans text, audio, image, and video modalities, drawing from carefully sampled public datasets with fixed seeds to ensure repr... | https://arxiv.org/abs/2601.06106 | Academic Papers | svg |
e797e1390dbed112965b076b22e1731d30e0e65723d2f16c38f336e4b87be77b | 2026-01-13T00:00:00-05:00 | From RLHF to Direct Alignment: A Theoretical Unification of Preference Learning for Large Language Models | arXiv:2601.06108v1 Announce Type: new Abstract: Aligning large language models (LLMs) with human preferences has become essential for safe and beneficial AI deployment. While Reinforcement Learning from Human Feedback (RLHF) established the dominant paradigm, a proliferation of alternatives -- Direct Preference Optimiz... | https://arxiv.org/abs/2601.06108 | Academic Papers | svg |
d428d5e4455bab4805f69adff53efccfd67c62d218d52dfd40445c454b1d4233 | 2026-01-13T00:00:00-05:00 | CBMAS: Cognitive Behavioral Modeling via Activation Steering | arXiv:2601.06109v1 Announce Type: new Abstract: Large language models (LLMs) often encode cognitive behaviors unpredictably across prompts, layers, and contexts, making them difficult to diagnose and control. We present CBMAS, a diagnostic framework for continuous activation steering, which extends cognitive bias analy... | https://arxiv.org/abs/2601.06109 | Academic Papers | svg |
7d617da96e3f43d445a8802c9ac5fa4e68a6ae5a90c160905a49b747b1458fcd | 2026-01-13T00:00:00-05:00 | Optimal Beamforming for Uplink Covert Communication in MIMO GEO Satellite-Terrestrial Systems | arXiv:2601.06110v1 Announce Type: new Abstract: This paper investigates the uplink covert communication in a multiple-input multiple-output (MIMO) satellite-terrestrial system consisting of an Earth station transmitter Alice, a geosynchronous Earth orbit (GEO) satellite receiver Bob, and multiple GEO satellite wardens ... | https://arxiv.org/abs/2601.06110 | Academic Papers | svg |
727599a5a5369e116e29bfc051adfd0f3e74777760035187fe94afaddbf08fea | 2026-01-13T00:00:00-05:00 | LLM-Powered Social Digital Twins: A Framework for Simulating Population Behavioral Response to Policy Interventions | arXiv:2601.06111v1 Announce Type: new Abstract: Predicting how populations respond to policy interventions is a fundamental challenge in computational social science and public policy. Traditional approaches rely on aggregate statistical models that capture historical correlations but lack mechanistic interpretability ... | https://arxiv.org/abs/2601.06111 | Academic Papers | svg |
9c2e21d905607ee436656ce942f8825bdca13641bace535bbf49d883f7c1dbf0 | 2026-01-13T00:00:00-05:00 | ReliabilityBench: Evaluating LLM Agent Reliability Under Production-Like Stress Conditions | arXiv:2601.06112v1 Announce Type: new Abstract: Existing benchmarks for tool-using LLM agents primarily report single-run success rates and miss reliability properties required in production. We introduce \textbf{ReliabilityBench}, a benchmark for evaluating agent reliability across three dimensions: (i) consistency un... | https://arxiv.org/abs/2601.06112 | Academic Papers | svg |
c9ef8d4635277b091ce55b46b8233cb3d07afd88ef638c3eba0abfc2ee2991d2 | 2026-01-13T00:00:00-05:00 | Towards Infinite Length Extrapolation: A Unified Approach | arXiv:2601.06113v1 Announce Type: new Abstract: Large language models (LLMs) have revolutionized natural language processing, but their ability to process long sequences is fundamentally limited by the context window size during training. Existing length extrapolation methods often suffer from performance degradation o... | https://arxiv.org/abs/2601.06113 | Academic Papers | svg |
3dfe4da43a7b6e3c484ede752f2f97c44cbdeaecbfd720b4c47738592a852595 | 2026-01-13T00:00:00-05:00 | GroupSegment-SHAP: Shapley Value Explanations with Group-Segment Players for Multivariate Time Series | arXiv:2601.06114v1 Announce Type: new Abstract: Multivariate time-series models achieve strong predictive performance in healthcare, industry, energy, and finance, but how they combine cross-variable interactions with temporal dynamics remains unclear. SHapley Additive exPlanations (SHAP) are widely used for interpreta... | https://arxiv.org/abs/2601.06114 | Academic Papers | svg |
d60bd19a5bfe55281a86dc667a9be514d17627146a017c0539db794fbefd3ec9 | 2026-01-13T00:00:00-05:00 | Dreaming Is Not a Bug: A Jung-Inspired Dream Layer for Multi-Agent LLM Companions | arXiv:2601.06115v1 Announce Type: new Abstract: Inspired by a personal dream about knowledge-sharing barriers in an everyday hardware project, this paper proposes a Jung-inspired "Dream Layer" for LLM companions, reframing controlled offline hallucinations as a resource for learning and relationship-building rather tha... | https://arxiv.org/abs/2601.06115 | Academic Papers | svg |
7a7aadd9a99b861346d8795f9ab4756d103bddab87f17642388e57bc2c799cc4 | 2026-01-13T00:00:00-05:00 | Structure-Aware Diversity Pursuit as an AI Safety Strategy against Homogenization | arXiv:2601.06116v1 Announce Type: new Abstract: Generative AI models reproduce the biases in the training data and can further amplify them through mode collapse. We refer to the resulting harmful loss of diversity as homogenization. Our position is that homogenization should be a primary concern in AI safety. We intro... | https://arxiv.org/abs/2601.06116 | Academic Papers | svg |
afbde52177f961f40204eb60e26bb527545db755e8131b2ebd45d6e430d39428 | 2026-01-13T00:00:00-05:00 | Stress Testing Machine Learning at $10^{10}$ Scale: A Comprehensive Study of Adversarial Robustness on Algebraically Structured Integer Streams | arXiv:2601.06117v1 Announce Type: new Abstract: This paper presents a large-scale stress test of machine learning systems using structured mathematical data as a benchmark. We evaluate the robustness of tree-based classifiers at an unprecedented scale, utilizing ten billion deterministic samples and five billion advers... | https://arxiv.org/abs/2601.06117 | Academic Papers | svg |
d3baa7db5b4150465352e40331b845247535f92d587ca4342d8fcd72da5b004d | 2026-01-13T00:00:00-05:00 | Beyond Reproducibility: Token Probabilities Expose Large Language Model Nondeterminism | arXiv:2601.06118v1 Announce Type: new Abstract: The execution of Large Language Models (LLMs) has been shown to produce nondeterministic results when run on Graphics Processing Units (GPUs), even when they are configured to produce deterministic results. This is due to the finite precision effects of the arithmetic ope... | https://arxiv.org/abs/2601.06118 | Academic Papers | svg |
31477993573439e15ca91be1014e939f2228d906ccd5a491094f4e063045bb77 | 2026-01-13T00:00:00-05:00 | L2CU: Learning to Complement Unseen Users | arXiv:2601.06119v1 Announce Type: new Abstract: Recent research highlights the potential of machine learning models to learn to complement (L2C) human strengths; however, generalizing this capability to unseen users remains a significant challenge. Existing L2C methods oversimplify interaction between human and AI by r... | https://arxiv.org/abs/2601.06119 | Academic Papers | svg |
ed2ffd025a3a60a415b94b5d17854e722c6a5b6a4271756ec970f02c67e6ca68 | 2026-01-13T00:00:00-05:00 | Range-Coder with fast Adaptation and Table-Based Decoding | arXiv:2601.06120v1 Announce Type: new Abstract: The transmission or storage of signals typically involves data compression. The final processing step in compression systems is generally an entropy coding stage, which converts symbols into a bit stream based on their probability distribution. A distinct class of entropy... | https://arxiv.org/abs/2601.06120 | Academic Papers | svg |
05ebd20497e2c83869b7a86f03733e618c064c36e5b040ebf66eb6902793fb53 | 2026-01-13T00:00:00-05:00 | Prompt Engineering for Responsible Generative AI Use in African Education: A Report from a Three-Day Training Series | arXiv:2601.06121v1 Announce Type: new Abstract: Generative artificial intelligence (GenAI) tools are increasingly adopted in education, yet many educators lack structured guidance on responsible and context sensitive prompt engineering, particularly in African and other resource constrained settings. This case report d... | https://arxiv.org/abs/2601.06121 | Academic Papers | svg |
478c29ada1265d4835f27dbe259ebdf8cf3c9696f2c522bc0aab7ea84cb6d4eb | 2026-01-13T00:00:00-05:00 | COVR:Collaborative Optimization of VLMs and RL Agent for Visual-Based Control | arXiv:2601.06122v1 Announce Type: new Abstract: Visual reinforcement learning (RL) suffers from poor sample efficiency due to high-dimensional observations in complex tasks. While existing works have shown that vision-language models (VLMs) can assist RL, they often focus on knowledge distillation from the VLM to RL, o... | https://arxiv.org/abs/2601.06122 | Academic Papers | svg |
db7b704106870a8625bc2728dbf2d6fb580a0c22db53db909e712c605b029243 | 2026-01-13T00:00:00-05:00 | Latent Space Communication via K-V Cache Alignment | arXiv:2601.06123v1 Announce Type: new Abstract: Solving increasingly complex problems with large language models (LLMs) necessitates a move beyond individual models and towards multi-model systems that can effectively collaborate. While text has traditionally served as the medium for inter-model communication, a richer... | https://arxiv.org/abs/2601.06123 | Academic Papers | svg |
a7a7ce0c013a16ba93ffa0cb028e5a3cc706253b1d2169073650954225d6cc5b | 2026-01-13T00:00:00-05:00 | Learning Minimally-Congested Drive Times from Sparse Open Networks: A Lightweight RF-Based Estimator for Urban Roadway Operations | arXiv:2601.06124v1 Announce Type: new Abstract: Accurate roadway travel-time prediction is foundational to transportation systems analysis, yet widespread reliance on either data-intensive congestion models or overly na\"ive heuristics limits scalability and practical adoption in engineering workflows. This paper devel... | https://arxiv.org/abs/2601.06124 | Academic Papers | svg |
f91c84dd51f686990930b4d027385ea727be13be47c2838a2326b9a861c0364b | 2026-01-13T00:00:00-05:00 | Extended Target Adaptive Beamforming for ISAC:A Perspective of Predictive Error Ellipse | arXiv:2601.06125v1 Announce Type: new Abstract: Utilizing communication signals to extract motion parameters has emerged as a key direction in Vehicle-to- Everything (V2X) networks. Accurately modeling the relationship between communication signals and sensing performance is critical for the advancement of such systems... | https://arxiv.org/abs/2601.06125 | Academic Papers | svg |
f6298a9740a47bfc1e400a5da1571114d04302e5dcc73d4ae4939ac6f72062f0 | 2026-01-13T00:00:00-05:00 | NL2Dashboard: A Lightweight and Controllable Framework for Generating Dashboards with LLMs | arXiv:2601.06126v1 Announce Type: new Abstract: While Large Language Models (LLMs) have demonstrated remarkable proficiency in generating standalone charts, synthesizing comprehensive dashboards remains a formidable challenge. Existing end-to-end paradigms, which typically treat dashboard generation as a direct code ge... | https://arxiv.org/abs/2601.06126 | Academic Papers | svg |
17dc302dd4c928cba30bbca174b3821bc7b572d9e587c5df14caefdf5354779c | 2026-01-13T00:00:00-05:00 | AIS-CycleGen: A CycleGAN-Based Framework for High-Fidelity Synthetic AIS Data Generation and Augmentation | arXiv:2601.06127v1 Announce Type: new Abstract: Automatic Identification System (AIS) data are vital for maritime domain awareness, yet they often suffer from domain shifts, data sparsity, and class imbalance, which hinder the performance of predictive models. In this paper, we propose a robust data augmentation method... | https://arxiv.org/abs/2601.06127 | Academic Papers | svg |
70984a887a3d7eef98f25117fae0d01c43033abe0a19584afc149496ead64f46 | 2026-01-13T00:00:00-05:00 | Graph-Based Analysis of AI-Driven Labor Market Transitions: Evidence from 10,000 Egyptian Jobs and Policy Implications | arXiv:2601.06129v1 Announce Type: new Abstract: How many workers displaced by automation can realistically transition to safer jobs? We answer this using a validated knowledge graph of 9,978 Egyptian job postings, 19,766 skill activities, and 84,346 job-skill relationships (0.74% error rate). While 20.9% of jobs face h... | https://arxiv.org/abs/2601.06129 | Academic Papers | svg |
d5e59d833927976f85626afb236d6a9e4c12eac916c775833313b3c5516c6e70 | 2026-01-13T00:00:00-05:00 | An evaluation of LLMs for political bias in Western media: Israel-Hamas and Ukraine-Russia wars | arXiv:2601.06132v1 Announce Type: new Abstract: Political bias in media plays a critical role in shaping public opinion, voter behaviour, and broader democratic discourse. Subjective opinions and political bias can be found in media sources, such as newspapers, depending on their funding mechanisms and alliances with p... | https://arxiv.org/abs/2601.06132 | Academic Papers | svg |
58d00ac8b395988d84da8f91009b92712e58f6a813ea019d994971a1b30ac82c | 2026-01-13T00:00:00-05:00 | A Review of Online Diffusion Policy RL Algorithms for Scalable Robotic Control | arXiv:2601.06133v1 Announce Type: new Abstract: Diffusion policies have emerged as a powerful approach for robotic control, demonstrating superior expressiveness in modeling multimodal action distributions compared to conventional policy networks. However, their integration with online reinforcement learning remains ch... | https://arxiv.org/abs/2601.06133 | Academic Papers | svg |
975adf639558f03c1dc63acdaa068acba70b6e255fa7bd2caa14e4d0bc244ed6 | 2026-01-13T00:00:00-05:00 | DeeperBrain: A Neuro-Grounded EEG Foundation Model Towards Universal BCI | arXiv:2601.06134v1 Announce Type: new Abstract: Electroencephalography (EEG) foundation models hold significant promise for universal Brain-Computer Interfaces (BCIs). However, existing approaches often rely on end-to-end fine-tuning and exhibit limited efficacy under frozen-probing protocols, lacking the intrinsic uni... | https://arxiv.org/abs/2601.06134 | Academic Papers | svg |
3e72d6035f05705492fc284bba100e8861200f9149e7ea7f2e2dac143776f9c5 | 2026-01-13T00:00:00-05:00 | Attention in Geometry: Scalable Spatial Modeling via Adaptive Density Fields and FAISS-Accelerated Kernels | arXiv:2601.06135v1 Announce Type: new Abstract: This work introduces Adaptive Density Fields (ADF), a geometric attention framework that formulates spatial aggregation as a query-conditioned, metric-induced attention operator in continuous space. By reinterpreting spatial influence as geometry-preserving attention grou... | https://arxiv.org/abs/2601.06135 | Academic Papers | svg |
032caaf6704f758771b75333a9cfd00f17c601b54b675e7fd60a8ddce049cbf7 | 2026-01-13T00:00:00-05:00 | RainBalance: Alleviating Dual Imbalance in GNSS-based Precipitation Nowcasting via Continuous Probability Modeling | arXiv:2601.06137v1 Announce Type: new Abstract: Global navigation satellite systems (GNSS) station-based Precipitation Nowcasting aims to predict rainfall within the next 0-6 hours by leveraging a GNSS station's historical observations of precipitation, GNSS-PWV, and related meteorological variables, which is crucial f... | https://arxiv.org/abs/2601.06137 | Academic Papers | svg |
e82712db3d87200e843aa7fbb3df42521d6f9b6e1a3cebc49c0de6f84a2d6cfb | 2026-01-13T00:00:00-05:00 | Low-Back Pain Physical Rehabilitation by Movement Analysis in Clinical Trial | arXiv:2601.06138v1 Announce Type: new Abstract: To allow the development and assessment of physical rehabilitation by an intelligent tutoring system, we propose a medical dataset of clinical patients carrying out low back-pain rehabilitation exercises and benchmark on state of the art human movement analysis algorithms... | https://arxiv.org/abs/2601.06138 | Academic Papers | svg |
de1492b3b5abf63adf159c66f0d07ce8b794646cbff038a9cac5f03a8dfb6494 | 2026-01-13T00:00:00-05:00 | Perspective: The creation of "Newsgames" as a teaching method-Empirical observations | arXiv:2601.06139v1 Announce Type: new Abstract: This chapter reports an empirical teaching experience integrating newsgame creation-serious games addressing current events and contributing to public debate-into an introductory game design course for engineering students. From 2010 to 2012, around 80 students produced 1... | https://arxiv.org/abs/2601.06139 | Academic Papers | svg |
c3efa3d5b4d8cdbfa5e2185a914fb2d75bcd9e59f85bc824acb822ad57df8634 | 2026-01-13T00:00:00-05:00 | Causal and Federated Multimodal Learning for Cardiovascular Risk Prediction under Heterogeneous Populations | arXiv:2601.06140v1 Announce Type: new Abstract: Cardiovascular disease (CVD) continues to be the major cause of death globally, calling for predictive models that not only handle diverse and high-dimensional biomedical signals but also maintain interpretability and privacy. We create a single multimodal learning framew... | https://arxiv.org/abs/2601.06140 | Academic Papers | svg |
5aa7b97e36d2cdec0d365f7be64d1c741815605d864fe16f291181b501f635e7 | 2026-01-13T00:00:00-05:00 | An LLM -Powered Assessment Retrieval-Augmented Generation (RAG) For Higher Education | arXiv:2601.06141v1 Announce Type: new Abstract: Providing timely, consistent, and high-quality feedback in large-scale higher education courses remains a persistent challenge, often constrained by instructor workload and resource limitations. This study presents an LLM-powered, agentic assessment system built on a Retr... | https://arxiv.org/abs/2601.06141 | Academic Papers | svg |
3ec037320cbad7e7f17b215a0e70fdf0deb58565c096e7260a99d1dc012e22b0 | 2026-01-13T00:00:00-05:00 | Is Sanskrit the most token-efficient language? A quantitative study using GPT, Gemini, and SentencePiece | arXiv:2601.06142v1 Announce Type: new Abstract: Tokens are the basic units of Large Language Models (LLMs). LLMs rely on tokenizers to segment text into these tokens, and tokenization is the primary determinant of computational and inference cost. Sanskrit, one of the oldest languages, is hypothesized to express more m... | https://arxiv.org/abs/2601.06142 | Academic Papers | svg |
b4f976e8f1c0c9390d12b0e55b245ff33717104c4830b236b0498e1b37dea510 | 2026-01-13T00:00:00-05:00 | The Patient/Industry Trade-off in Medical Artificial Intelligence | arXiv:2601.06144v1 Announce Type: new Abstract: Artificial intelligence (AI) in healthcare has led to many promising developments; however, increasingly, AI research is funded by the private sector leading to potential trade-offs between benefits to patients and benefits to industry. Health AI practitioners should prio... | https://arxiv.org/abs/2601.06144 | Academic Papers | svg |
1ed93445acdd4aa9e820f1fcbf40ba4067c7b8f0ab7f8db1e6ec5da6988e5f69 | 2026-01-13T00:00:00-05:00 | Bridging the AI divide in sub-Saharan Africa: Challenges and opportunities for inclusivity | arXiv:2601.06145v1 Announce Type: new Abstract: The artificial intelligence (AI) digital divide in sub-Saharan Africa (SSA) presents significant disparities in AI access, adoption, and development due to varying levels of infrastructure, education, and policy support. This study investigates the extent of AI readiness ... | https://arxiv.org/abs/2601.06145 | Academic Papers | svg |
4714d8e854b9cdeb6da5a005ff119a419b217c216fb11e5c63dbdba73f8e847a | 2026-01-13T00:00:00-05:00 | LLM Flow Processes for Text-Conditioned Regression | arXiv:2601.06147v1 Announce Type: new Abstract: Meta-learning methods for regression like Neural (Diffusion) Processes achieve impressive results, but with these models it can be difficult to incorporate expert prior knowledge and information contained in metadata. Large Language Models (LLMs) are trained on giant corp... | https://arxiv.org/abs/2601.06147 | Academic Papers | svg |
3c854ad93d66c5e9437d96000d176ae6aeaa2d42f8042c35b80a9edb2bed6866 | 2026-01-13T00:00:00-05:00 | A Foundation Model Approach for Fetal Stress Prediction During Labor From cardiotocography (CTG) recordings | arXiv:2601.06149v1 Announce Type: new Abstract: Intrapartum cardiotocography (CTG) is widely used for fetal monitoring during labor, yet its interpretation suffers from high inter-observer variability and limited predictive accuracy. Deep learning approaches have been constrained by the scarcity of CTG recordings with ... | https://arxiv.org/abs/2601.06149 | Academic Papers | svg |
dd83a42838af74c49d8d8c64998a57425ca443da222a5e5b9b3ddf81e27cc70e | 2026-01-13T00:00:00-05:00 | PromptPort: A Reliability Layer for Cross-Model Structured Extraction | arXiv:2601.06151v1 Announce Type: new Abstract: Structured extraction with LLMs fails in production not because models lack understanding, but because output formatting is unreliable across models and prompts. A prompt that returns clean JSON on GPT-4 may produce fenced, prose-wrapped, or malformed output on Llama, cau... | https://arxiv.org/abs/2601.06151 | Academic Papers | svg |
9aa0e2d91e01e477d6e19186e9dcdba9421a3efbc711e1c3d444b28f21789c57 | 2026-01-13T00:00:00-05:00 | HiMeS: Hippocampus-inspired Memory System for Personalized AI Assistants | arXiv:2601.06152v1 Announce Type: new Abstract: Large language models (LLMs) power many interactive systems such as chatbots, customer-service agents, and personal assistants. In knowledge-intensive scenarios requiring user-specific personalization, conventional retrieval-augmented generation (RAG) pipelines exhibit li... | https://arxiv.org/abs/2601.06152 | Academic Papers | svg |
493ec3bf377d2970eb1c57602fa9afe83e007c96cade08c2f1d979e06b3bcac5 | 2026-01-13T00:00:00-05:00 | Interoperability in AI Safety Governance: Ethics, Regulations, and Standards | arXiv:2601.06153v1 Announce Type: new Abstract: This policy report draws on country studies from China, South Korea, Singapore, and the United Kingdom to identify effective tools and key barriers to interoperability in AI safety governance. It offers practical recommendations to support a globally informed yet locally ... | https://arxiv.org/abs/2601.06153 | Academic Papers | svg |
a124d51eeff131a94181cf4e3526063ed7d3903ea81c3b58f96aea05fc65b4fa | 2026-01-13T00:00:00-05:00 | BotSim: Mitigating The Formation Of Conspiratorial Societies with Useful Bots | arXiv:2601.06154v1 Announce Type: new Abstract: Societies can become a conspiratorial society where there is a majority of humans that believe, and therefore spread, conspiracy theories. Artificial intelligence gave rise to social media bots that can spread conspiracies in an automated fashion. Currently, organizations... | https://arxiv.org/abs/2601.06154 | Academic Papers | svg |
220b769c730131f39dbeff88b728633cb80c7bb1d6e6ed8ea5182a7511ae1cbb | 2026-01-13T00:00:00-05:00 | Channel Knowledge Map Construction via Guided Flow Matching | arXiv:2601.06156v1 Announce Type: new Abstract: The efficient construction of accurate channel knowledge maps (CKMs) is crucial for unleashing the full potential of environment-aware wireless networks, yet it remains a difficult ill-posed problem due to the sparsity of available location-specific channel knowledge data... | https://arxiv.org/abs/2601.06156 | Academic Papers | svg |
196e9037bbe4a462876e20e6e94cb78af6b573f032517ef6d74b2430cd891609 | 2026-01-13T00:00:00-05:00 | ECLIPTICA - A Framework for Switchable LLM Alignment via CITA - Contrastive Instruction-Tuned Alignment | arXiv:2601.06157v1 Announce Type: new Abstract: Alignment in large language models (LLMs) is still largely static: after training, the policy is frozen. DPO, GRPO methods typically imprint one behavior into the weights, leaving little runtime control beyond prompt hacks or expensive re-alignment. We introduce ECLIPTICA... | https://arxiv.org/abs/2601.06157 | Academic Papers | svg |
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