CompanyAnthropic8 recent entries4 Jun 2026Knowledge Index of Noah's ArkarXiv:2606.05104v1 Announce Type: new Abstract: Knowledge benchmarks for LLMs face three issues: scaling-driven designs that do not operationalize disciplinary representativeness; flat-payment annotat→4 Jun 2026Interfaze: The Future of AI is built on Task-Specific Small ModelsarXiv:2602.04101v2 Announce Type: replace Abstract: We present Interfaze, a native hybrid model that fuses task-specific deep neural networks (CNNs and DNNs) directly into a transformer decoder throug→
CompanyOpenAI8 recent entries7 May 2026Telegraph English: Semantic Prompt Compression via Structured Symbolic RewritingarXiv:2605.04426v1 Announce Type: new Abstract: We introduce Telegraph English (TE), a prompt-compression protocol that rewrites natural language into a symbol-rich, formally-structured dialect. Where→7 May 2026Not All That Is Fluent Is Factual: Investigating Hallucinations of Large Language Models in Academic WritingarXiv:2605.04171v1 Announce Type: new Abstract: Large Language models (LLMs) show extraordinary abilities, but they are still prone to hallucinations, especially when we use them for generating Academ→18 May 2026An LLM-RAG Approach for Healthy Eating Index-Informed Personalized Food RecommendationsarXiv:2605.15213v1 Announce Type: cross Abstract: Diet quality is a leading determinant of chronic disease risk. Advances in artificial intelligence (AI) have enabled food recommendation systems to ad→26 May 2026Generative AI impacts on intra-urban inequality and skill premium in BeijingarXiv:2605.25505v1 Announce Type: cross Abstract: Generative artificial intelligence (GenAI) is the first automation wave to reach high-cognitive tasks at scale, yet its effects on intra-urban inequal→4 Jun 2026Disentangling Answer Engine Optimization from Platform Growth: A Log-Based Natural Experiment on ChatGPT Referral TrafficarXiv:2606.04362v1 Announce Type: cross Abstract: Large language model (LLM) 'answer engines' such as ChatGPT now send measurable referral traffic to the open web, and a practice analogous to search e→26 Jun 2026The Open Source Economic Index of AI Adoption and CapabilityarXiv:2606.26118v1 Announce Type: cross Abstract: We work towards measuring both AI adoption and the capability of AI to perform discrete labor tasks across various occupations. To measure adoption, w→7 Aug 2026Evaluating and Improving Pedagogical Fit in LLM-Based AI Tutors with the Pedagogical Suitability IndexarXiv:2608.05411v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as AI tutors, but a correct answer is not always a pedagogically appropriate one. In classroom learni→11 Aug 2026From Evaluated Models to Evaluation Aids: A Multi-Evidence Study of LLM-Based Difficulty Calibration for Programming ExaminationsarXiv:2608.07523v1 Announce Type: cross Abstract: Difficulty differences across parallel-class programming examinations affect the fairness of course assessment. This study repositions large language
CompanyGoogle8 recent entries23 Jun 2026Who Owns the AI Recommendation? A Multi-Industry Empirical Map of Brand Category Ownership Across Large Language ModelsarXiv:2606.23057v1 Announce Type: cross Abstract: Large language models now mediate how buyers discover products and services, making the competitive structure of AI-generated recommendations a strate→25 Jun 2026Failure Modes of Large Language Models on Research-Level Mathematics: A Taxonomy and an Empirical CharacterisationarXiv:2606.24902v1 Announce Type: cross Abstract: The 'First Proof' benchmark [1] posed ten research-level mathematics questions to the strongest publicly available LLMs and found them consistently wr→28 Jul 2026Reasoning or Memorization: Can LLMs Understand and Generate Chinese Xiehouyu Riddles?arXiv:2607.23440v1 Announce Type: cross Abstract: In this paper, we push the boundary of LLM reasoning by testing them in a Chinese language game, xiehouyu, with novel xiehouyu created by linguists th→31 Jul 2026TraceCoder: Explainable and Auditable Code Generation with Position-Key Snippet VersioningarXiv:2607.26307v1 Announce Type: new Abstract: Contemporary LLM-based coding agents produce code as black-box outputs: the rationale behind each line is hidden, the evolution of the code through benc→3 Aug 2026Are the Financial Reasoning from LLMs Credible? A Real World Test over Long-Horizon StatementsarXiv:2607.28661v1 Announce Type: new Abstract: Do Large Language Models (LLMs) possess genuine structural reasoning, or merely rely on surface-level pattern matching? The financial domain, demanding →5 Aug 2026When Outputs Disperse, Does Epistemic Revision Follow? A Black-Box Coupling Diagnostic for Machine CollectivesarXiv:2608.03722v1 Announce Type: new Abstract: Collective intelligence research treats disagreement as evidence of epistemic diversity: if agents express different views, the group should retain capa→7 Aug 2026Evaluating and Improving Pedagogical Fit in LLM-Based AI Tutors with the Pedagogical Suitability IndexarXiv:2608.05411v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as AI tutors, but a correct answer is not always a pedagogically appropriate one. In classroom learni→11 Aug 2026Temporal Misgrounding in Legal RAG: A Versioned-Corpus Benchmark for French Tax LawarXiv:2608.09393v1 Announce Type: cross Abstract: We identify and quantify temporal misgrounding: the systematic retrieval and citation of the currently in-force version of a legal article when the ap
CompanyMeta8 recent entries29 Jul 2026At-the-Roofline Sparse Tensor Contractions on Vector Processors for Transformer InferencearXiv:2607.25504v1 Announce Type: cross Abstract: Fine-grained weight pruning and activation sparsification have emerged as effective approaches for reducing the compute and memory cost of inference f→31 Jul 2026Gradient-free Task-Conditioned Retrieval for On-Device In-Context LearningarXiv:2607.27766v1 Announce Type: new Abstract: On-device in-context learning (ICL) relies on pre-inference retrieval to select demonstrations for useful context before downstream model inference. Thi→3 Aug 2026The Formalism Trap: Are LLM-as-a-Judge Evaluators Blinded by Consensus Mimicry under Social Load?arXiv:2607.28641v1 Announce Type: cross Abstract: We introduce the extit{Agentic Formalism Trap} and the Evaluative Dissonance Index (D_E), quantifying how LLM-as-a-Judge systems conflate structural p→5 Aug 2026When Outputs Disperse, Does Epistemic Revision Follow? A Black-Box Coupling Diagnostic for Machine CollectivesarXiv:2608.03722v1 Announce Type: new Abstract: Collective intelligence research treats disagreement as evidence of epistemic diversity: if agents express different views, the group should retain capa→5 Aug 2026SAKI: Score-Aware Low-Rank Key Indexing for Long-Context KV RetrievalarXiv:2608.03228v1 Announce Type: new Abstract: Existing low rank KV cache methods preserve either model weights or key variance, neither of which directly reflects the attention scores used during in→5 Aug 2026Omega-S: A Functional Resilience Index for LLM Fine-TuningarXiv:2608.03887v1 Announce Type: new Abstract: Fine-tuning a large language model on new data degrades what it previously learned. We present Omega-S, a drop-in penalty computed from the weight matri→5 Aug 2026In-Context Pure Exploration in Continuous Decision SpacesarXiv:2602.17976v2 Announce Type: replace-cross Abstract: In active sequential testing, also termed pure exploration, a learner is tasked with the goal to adaptively acquire information so as to ident→12 Aug 2026Cracks in the Foundation: Seemingly Minor Architectural Choices Impact Long Context ExtensionarXiv:2608.10296v1 Announce Type: new Abstract: One might imagine that architectural variations within the dense transformer paradigm have a limited effect on accuracy. However, we demonstrate that th
CompanyMistral8 recent entries1 May 2026When Roles Fail: Epistemic Constraints on Advocate Role Fidelity in LLM-Based Political Statement AnalysisarXiv:2604.27228v1 Announce Type: new Abstract: Democratic discourse analysis systems increasingly rely on multi-agent LLM pipelines in which distinct evaluator models are assigned adversarial roles t→19 May 2026NewsLens: A Multi-Agent Framework for Adversarial News Bias NavigationarXiv:2605.17364v1 Announce Type: new Abstract: Media bias detection has predominantly been framed as a classification task: assign a political label to an article or outlet. We argue this framing is →21 May 2026GraphRAG on Consumer Hardware: Benchmarking Local LLMs for Healthcare EHR Schema RetrievalarXiv:2605.20815v1 Announce Type: new Abstract: Graph-based Retrieval Augmented Generation (GraphRAG) extends retrieval-augmented generation to support structured reasoning over complex corpora, but i→26 May 2026IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM InferencearXiv:2605.25475v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly expected to operate over long contexts, yet standard softmax attention incurs a KV cache that grows line→26 Jun 2026Memory Depth, Not Memory Access: Selective Parametric Consolidation for Long-Running Language AgentsarXiv:2606.26806v1 Announce Type: new Abstract: Long-running language agents need more than memory access. Retrieval systems can fetch past facts at query time, but they do not decide which experience→2 Jul 2026Persona Without Substrate: Regime-Dependence and the LLM Individuation ProblemarXiv:2607.00006v1 Announce Type: cross Abstract: Beckmann & Butlin's (2026) ontological framework for the LLM individuation problem inherits an unargued cross-regime co-reference assumption from the →23 Jul 2026TriAgent: Divergence-Aware Multi-Agent Committees for Cost-Efficient Financial Sentiment AnalysisarXiv:2607.19794v1 Announce Type: new Abstract: Production LLM-based financial sentiment analysis faces a structural cost trap: most queries are trivially classifiable, yet expensive cloud reasoners p→5 Aug 2026SAKI: Score-Aware Low-Rank Key Indexing for Long-Context KV RetrievalarXiv:2608.03228v1 Announce Type: new Abstract: Existing low rank KV cache methods preserve either model weights or key variance, neither of which directly reflects the attention scores used during in
CompanyxAI8 recent entries7 May 2026Not All That Is Fluent Is Factual: Investigating Hallucinations of Large Language Models in Academic WritingarXiv:2605.04171v1 Announce Type: new Abstract: Large Language models (LLMs) show extraordinary abilities, but they are still prone to hallucinations, especially when we use them for generating Academ→20 May 2026GRALIS: A Unified Canonical Framework for Linear Attribution Methods via Riesz RepresentationarXiv:2605.05480v2 Announce Type: replace-cross Abstract: The main XAI attribution methods for deep neural networks -- GradCAM, SHAP, LIME, Integrated Gradients -- operate on separate theoretical foun→23 May 2026Measuring Cross-Modal Synergy: A Benchmark for VLM ExplainabilityarXiv:2605.22168v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) map complex visual inputs to semantic spaces, but interpreting the cross-modal reasoning of VLMs currently relies on pos→4 Jun 2026Interfaze: The Future of AI is built on Task-Specific Small ModelsarXiv:2602.04101v2 Announce Type: replace Abstract: We present Interfaze, a native hybrid model that fuses task-specific deep neural networks (CNNs and DNNs) directly into a transformer decoder throug→9 Jun 2026The AI Epistemic Deference Index: A Continuous Measure of SycophancyarXiv:2606.07897v1 Announce Type: new Abstract: Current AI models frequently exhibit epistemic sycophancy, endorsing claims to agree with a user. Existing evaluations typically measure this either by →30 Jun 2026The Digital Afterlife of Empires: Four Language Models Converge on the Same Imperial Cartography of WritingarXiv:2606.28325v1 Announce Type: cross Abstract: Large language models process the world's writing systems with radical inequality. We constructed the Digital Script Representation Index (DSRI), a se→9 Jul 2026Cross-Trajectory Chimera Interventions Reveal Dissociable Roles of Weight Magnitude and Direction in GrokkingarXiv:2607.06628v1 Announce Type: cross Abstract: Which properties of a partially trained network are causally portable to a different, independently trained network? Single-trajectory interventions s→16 Jul 2026Anatomically Faithful but Temporally Blind: Auditing Attribution for Left-Ventricular Ejection-Fraction Estimation from EchocardiographyarXiv:2607.13738v1 Announce Type: cross Abstract: Background and Objective: Deep video models estimate left-ventricular ejection fraction (EF) from echocardiography with near-expert accuracy, and post
CompanyDeepSeek8 recent entries23 Jul 2026Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation: A Comparative StudyarXiv:2502.16022v3 Announce Type: replace Abstract: OpenNotes gives patients access to their EHR notes, but dense medical jargon limits comprehension. We evaluate closed-source and open-source LLMs fo→24 Jul 2026Autonomous Topology Mutation: Safe Runtime Restructuring for Multi-Agent LLM Systems with Capability, State, and Shadow InvariantsarXiv:2607.20488v1 Announce Type: new Abstract: Multi-agent LLM frameworks typically fix their team topology at boot time. When an individual agent becomes overloaded at runtime, for example by mixing→28 Jul 2026PIVOT: Efficient Query-Group Indexing for Token-Level Sparse AttentionarXiv:2607.24593v1 Announce Type: new Abstract: Token-level sparse attention, as implemented by DeepSeek Sparse Attention (DSA) in production systems, makes the downstream attention efficient but shif→31 Jul 2026Beyond Geometric Complementarity: Coherent Overlap in Sparse Mixture-of-Experts RoutingarXiv:2607.28308v1 Announce Type: new Abstract: Sparse mixture-of-experts (MoE) language models route each token to multiple experts, suggesting a geometric account of their benefit: co-selected exper→4 Aug 2026LongCat Sparse Attention: Taming the Lightning via Streaming-aware Hierarchical Cross-Layer IndexingarXiv:2608.01662v1 Announce Type: cross Abstract: DeepSeek Sparse Attention (DSA) enables efficient long-context modeling through its Lightning Indexer. However, practical deployment remains constrain→4 Aug 2026Emergence Invariance: From Symbolized Thought to Interface RefinementarXiv:2608.01548v1 Announce Type: cross Abstract: Language can be viewed as a formalized subset of thought: a consequence-governed symbolic structure projected from wider situated cognition. Large lan→11 Aug 2026When Counterbalancing Hides the Bias: Access-Conditioned Position Lock in Forced-Choice LLM EvaluationarXiv:2607.10202v2 Announce Type: replace Abstract: Forced-choice probes with counterbalanced orientations are a standard tool for measuring language-model 'value dispositions,' and a concentration/ex→11 Aug 2026SodaMem: Evidence-Grounded Temporal Graph Memory for LLM AgentsarXiv:2608.08055v1 Announce Type: new Abstract: Large language model (LLM) agents that assist users over weeks of conversation must remember what is currently true, not merely what was once said. Flat
CompanyNVIDIA8 recent entries14 Apr 2026VTC: DNN Compilation with Virtual Tensors for Data Movement EliminationarXiv:2604.09558v1 Announce Type: cross Abstract: With the widening gap between compute and memory operation latencies, data movement optimizations have become increasingly important for DNN compilati→4 May 2026DPU or GPU for Accelerating Neural Networks Inference -- Why not both? Split CNN InferencearXiv:2605.00174v1 Announce Type: cross Abstract: Video and image streaming on edge devices requires low latency. To address this, Neural Networks (NNs) are widely used, and prior work mainly focuses →5 May 2026StreamIndex: Memory-Bounded Compressed Sparse Attention via Streaming Top-karXiv:2605.02568v1 Announce Type: new Abstract: DeepSeek-V3.2 and V4 introduce Compressed Sparse Attention (CSA): a lightning indexer (a learned scoring projection over compressed keys) scores them, t→11 May 2026MISA: Mixture of Indexer Sparse Attention for Long-Context LLM InferencearXiv:2605.07363v1 Announce Type: cross Abstract: DeepSeek Sparse Attention (DSA) sets the state of the art for fine-grained inference-time sparse attention by introducing a learned token-wise indexer→26 May 2026Rethinking Continual Anomaly Detection on the Edge: Benchmarking Under Realistic Industrial ConditionsarXiv:2605.24251v1 Announce Type: new Abstract: Continual anomaly detection (CAD) addresses the need for industrial inspection systems to adapt to evolving production conditions, yet existing methods →26 May 2026Benchmarking Patent Embeddings: A Multi-Task Evaluation of 22 Models Across Retrieval, Classification, and ClusteringarXiv:2605.24297v1 Announce Type: cross Abstract: Which fine-tuning signals improve patent embedding models, and do gains transfer across patent landscapes? We benchmark 22 embedding models, from 22M-→28 Jul 2026Energy Constrained Hierarchical Underwater Monitoring via Local Multi-Agent RAGarXiv:2607.24313v1 Announce Type: cross Abstract: Marine life monitoring is limited by strict energy constraints, poor underwater connectivity, and the high cost of transmitting raw multimodal data fr→5 Aug 2026A Deployment-Friendly Foundational Framework for Efficient Computational PathologyarXiv:2602.14010v2 Announce Type: replace-cross Abstract: Pathology foundation models (PFMs) generalize well across computational pathology tasks but remain costly for gigapixel whole-slide image anal