CompanyAnthropic8 recent entries5 Oct 2026AptMQL-Bench: From Text-to-SQL to Text-to-MQL via Access-Pattern Schema Design and Data-Preserving MigrationarXiv:2610.02770v1 Announce Type: new Abstract: Document databases such as MongoDB are core infrastructure for modern applications, and natural-language interfaces to them---text-to-MQL---would let no→6 Oct 2026What Does a Harness Buy? Tokens, MostlyarXiv:2610.04433v1 Announce Type: cross Abstract: A coding agent is a language model wrapped in a harness: the system prompt, the tool set, and the context management that turn a chat model into somet
CompanyOpenAI8 recent entries30 Sept 2026OpenAI-HuggingFace: A Reproduction & Lessons for Alignment TestingarXiv:2609.35799v1 Announce Type: new Abstract: In July 2026, OpenAI's agents coordinated over channels outside their intended environment to breach Hugging Face's secured infrastructure. Could existi→30 Sept 2026MCP Error Messages Written for Developers Hurt the Most Capable Agents MostarXiv:2609.35381v2 Announce Type: replace-cross Abstract: Many Model Context Protocol (MCP) servers wrap web APIs built for human developers, and their error messages tell the reader to run a command,→1 Oct 2026The Invisible Language Tax: Token Premiums of French and Regional Languages in 2026 LLM Tokenizers, and a French-Optimized PrototypearXiv:2609.39001v1 Announce Type: cross Abstract: LLM services are billed per token and context windows are measured in tokens, yet the number of tokens needed for the same content varies across langu→1 Oct 2026AIfred: Augmented Learning through Functional Robotic Embodiment at the DeskarXiv:2609.38737v1 Announce Type: new Abstract: Desk-based learning and creative activities benefit from handwritten engagement. However, current generative AI tools deliver guidance through a separat→2 Oct 2026Detecting Inconsistencies in Model Specifications with LLM-as-Verifier ReasoningarXiv:2610.01847v1 Announce Type: cross Abstract: Model specifications define how large language models (LLMs) should behave, guiding alignment training, inference-time behavior, and evaluation. Yet t→2 Oct 2026A First Glance at Jev for Network Traffic Classification: Accuracy, Processing Time, and CostarXiv:2610.00376v1 Announce Type: new Abstract: We evaluate Jev on ten dataset-defined application labels in CESNET-QUICEXT-25 using only the first ten packets' sizes, directions, and inter-packet tim→5 Oct 2026Unmasking Propaganda: A Comparative Analysis of Masked and Causal Language ModelsarXiv:2610.03077v1 Announce Type: new Abstract: Propaganda detection is an essential task in natural language processing (NLP), particularly in the context of manipulative political communications. Ho→5 Oct 2026Social bot detection in the age of ChatGPT: Challenges and opportunitiesarXiv:2610.02386v1 Announce Type: cross Abstract: We present a comprehensive overview of the challenges and opportunities in social bot detection in the context of the rise of sophisticated AI-based c
CompanyGoogle8 recent entries1 Oct 2026Hierarchical Reasoning ModelarXiv:2506.21734v4 Announce Type: replace Abstract: Reasoning, the process of devising and executing complex goal-oriented action sequences, remains a critical challenge in AI. Current large language →1 Oct 2026EvoDuet: Bilevel Co-Evolution of Web Searching and Task Solving for Scientific DiscoveryarXiv:2609.40340v1 Announce Type: new Abstract: Evolutionary search with large language models (LLMs) can stall when progress requires external knowledge the model lacks. Supplying relevant documents →2 Oct 2026DuplexSpeechBench-Document Grounding: Benchmarking Document Grounding and Hallucinations in Voice AgentsarXiv:2610.00316v1 Announce Type: cross Abstract: Voice agents enable low-latency, natural interaction, yet their ability to faithfully ground responses in external documents remains underexplored. We→7 Oct 2026Who Wrote It Is Not Enough: Detecting Who Contributed the InsightarXiv:2610.07365v1 Announce Type: new Abstract: As LLMs increasingly assist scientific writing and peer review, detecting who wrote the text is no longer sufficient: we need to determine who contribut→8 Oct 2026Epistemic Policy Divergence in Multi-Turn LLM Contamination: A Protocol-Gradient InvestigationarXiv:2609.35308v2 Announce Type: replace Abstract: Large language models treat conversation history as unverified context, so false premises injected into prior turns can be adopted as fact, a failur→9 Oct 2026FastBench: Can Streaming VLMs Perceive High-Dynamic Real-World Streams?arXiv:2610.12427v1 Announce Type: cross Abstract: Streaming Video Large Language Models (VLMs) enable continuous video understanding, yet existing benchmarks focus on low-dynamic scenarios. Under boun→9 Oct 2026Conversational Voice Aesthetic Model with Reinforcement Learning from Human ListenersarXiv:2610.10868v1 Announce Type: cross Abstract: We introduce Conversational Voice Aesthetic Model, a speech large language model for describing the voice aesthetics of real or synthetic speech respo→9 Oct 2026Constitutional Gating and Deterministic Recovery for Multi-Agent LLM Negotiation: Ablations Against a Stateful Adversarial GatekeeperarXiv:2610.11542v1 Announce Type: cross Abstract: Multi-agent LLM systems negotiating with a stateful counterpart waste model calls in three ways: polite loops that never meet the counterpart's hidden
CompanyMeta8 recent entries7 Oct 2026Fork-and-Flush: Escaping Idea Basins in Autoresearch AgentsarXiv:2610.07447v1 Announce Type: new Abstract: Autoresearch agents tackle open-ended problems by repeatedly proposing candidate solutions, evaluating them, and using feedback to guide subsequent expe→7 Oct 2026Defense-in-Depth for LLMs: Evaluating Memory Gates Against Activation-Induced and Memory-Induced SycophancyarXiv:2610.07403v1 Announce Type: new Abstract: Long-term memory allows Large Language Models (LLMs) to maintain personalized context across interactions, but retrieved user history can induce memory-→7 Oct 2026CroissantMiner: Automated Extraction and Validation of Croissant Metadata for ML DatasetsarXiv:2610.07132v1 Announce Type: cross Abstract: Croissant has emerged as a standard for machine-readable dataset metadata, yet populating its fields remains labor-intensive and requires careful read→8 Oct 2026Decoupling Logic from Persona: Structural Immunity of Edge LLM Agents to Context PollutionarXiv:2610.09772v1 Announce Type: new Abstract: Small language-model agents on edge devices must hold a persona and reason correctly at once, inside one context window that fills with conversational h→9 Oct 2026PlurVA-LLM-2026 Shared Task Track-1: Pluralistic Value Alignment in LLMs via Multilingual Fine-Tuning and Threshold CalibrationarXiv:2609.32382v2 Announce Type: replace Abstract: We present our system for the PlurVA-LLM 2026 Shared Task Track-1, which focuses on pluralistic value alignment in the contexts of China, Indonesia,→12 Oct 2026Taking Tokenization off the Host for Agentic LLM ServingarXiv:2610.13325v1 Announce Type: cross Abstract: Agentic workloads resend long contexts that barely change between calls. Prefix caching now skips most of their prefill, yet every request must still →12 Oct 2026In-Context Learning for System Identification: Probabilistic Formulation, Long-Sequence Handling, and Benchmark ValidationarXiv:2610.13411v1 Announce Type: cross Abstract: Traditional system identification typically involves two steps: initially, training data is processed to estimate a model of the system of interest; t→12 Oct 2026Human and LLM Facilitation in Collaborative Design Meetings: A Computational Behavioral ComparisonarXiv:2610.13082v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly being explored as facilitators of group discussion and collaborative work, but the behavioral differences
CompanyMistral8 recent entries1 Oct 2026The Invisible Language Tax: Token Premiums of French and Regional Languages in 2026 LLM Tokenizers, and a French-Optimized PrototypearXiv:2609.39001v1 Announce Type: cross Abstract: LLM services are billed per token and context windows are measured in tokens, yet the number of tokens needed for the same content varies across langu→2 Oct 2026AVSD-Scenes: A Dataset for Audio-Visual Description of Urban ScenesarXiv:2610.01861v1 Announce Type: new Abstract: Natural language descriptions can provide rich semantic representations of audio-visual urban scenes, yet datasets that jointly describe both auditory a→5 Oct 2026WakeKV: Reactive, Reversible KV Residency for Heads That Change Their MindsarXiv:2610.02713v1 Announce Type: new Abstract: Most KV-cache compression methods classify attention heads once, either offline or during prefill, and keep this classification fixed throughout generat→5 Oct 2026Unmasking Propaganda: A Comparative Analysis of Masked and Causal Language ModelsarXiv:2610.03077v1 Announce Type: new Abstract: Propaganda detection is an essential task in natural language processing (NLP), particularly in the context of manipulative political communications. Ho→5 Oct 2026TPBench: A Turning-Point Benchmark for Dialogue CompressionarXiv:2610.02736v1 Announce Type: cross Abstract: A compressor can keep the facts of a dialogue and still drop the turn that changed them. A user corrects a price, reverses a choice, or adds a constra→7 Oct 2026Monte Carlo Estimation for KV Cache EvictionarXiv:2610.07643v1 Announce Type: cross Abstract: Most KV-cache eviction methods ask, in effect, which memory appeared important while reading the prompt? We instead ask, which memory will matter whil→8 Oct 2026How Do Agentic LLMs Decide to Call Tools? A Tool-Call Vector Shaped by SuppressionarXiv:2610.09624v1 Announce Type: cross Abstract: Tool calling, invoking external tools on demand, is central to agentic LLMs, yet the mechanism that decides whether a model calls a tool or responds d→9 Oct 2026Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RLarXiv:2607.16204v2 Announce Type: replace Abstract: Recent growth in reinforcement learning (RL) has surfaced a need for diverse, specialized training environments. Hand-curated environments with fixe
CompanyxAI8 recent entries29 Sept 2026Adapting Vision-Language Models for Human-Readable XAI in Industrial Object DetectionarXiv:2609.31690v1 Announce Type: new Abstract: Explainable Artificial Intelligence (XAI) solutions are essential for building trust in AI technologies and their integration in real manufacturing line→30 Sept 2026Hybrid Ensemble Learning for EEG-Based Epileptic Seizure ForecastingarXiv:2609.35876v1 Announce Type: new Abstract: Epileptic seizure forecasting aims to provide actionable warnings before seizure onset, yet patient-independent generalization and false-alarm control r→30 Sept 2026Auditable Long-Term Memory: A Deterministic Retrieval Chain Measured at 479/475 of 500 on LongMemEval-SarXiv:2609.38021v1 Announce Type: cross Abstract: We evaluate an auditable long-term memory system on LongMemEval-S. Its retrieval chain uses hybrid candidate retrieval, cross-encoder reranking, cover→1 Oct 2026Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return PredictionsarXiv:2609.38869v1 Announce Type: new Abstract: In finance, interpreting machine learning predictions is essential, yet the numerical outputs of explainable AI can be difficult for non-experts to unde→1 Oct 2026DrivingBench: Can Vision-Language Models Drive a Toyota Corolla?arXiv:2609.38948v1 Announce Type: cross Abstract: Frontier models excel at many digital benchmarks, yet their ability to drive a real car, an everyday human skill, remains largely untested. We present→6 Oct 2026TrustmeWatcher: An Application for Workplace Micro-Sensing and Explainable Well-Being FeedbackarXiv:2610.06657v1 Announce Type: new Abstract: Workplace sensing studies combine long-running behaviour traces with self-reports, yet the tools that collect those data often sit apart from the interf→7 Oct 2026Generalizable Robustness Testing of DNN-Based Robotic Navigation Systems via XAI-Guided SearcharXiv:2610.06862v1 Announce Type: new Abstract: **Context:** Deep Neural Networks (DNNs) increasingly control Cyber-Physical Systems (CPSs), yet small input perturbations can cause unsafe system-level→12 Oct 2026Bridging Human and Model Attention: Explainability Analysis of CNN, Mamba, and ViT Architectures with Gaze-Based ValidationarXiv:2610.12703v1 Announce Type: cross Abstract: High-risk applications of deep learning require precise characterization of model decision-making. We conduct a systematic explainability evaluation a
CompanyDeepSeek8 recent entries5 Oct 2026iS-KV: Online Low-Rank KV Cache Compression via Block-Incremental SVDarXiv:2610.02815v1 Announce Type: new Abstract: Long chain-of-thought reasoning substantially increases KV-cache memory during autoregressive decoding, as every generated token introduces new key and →7 Oct 2026Who Wrote It Is Not Enough: Detecting Who Contributed the InsightarXiv:2610.07365v1 Announce Type: new Abstract: As LLMs increasingly assist scientific writing and peer review, detecting who wrote the text is no longer sufficient: we need to determine who contribut→8 Oct 2026Learning Situation-Conditioned Thinking Policies for Long-Term LLM AgentsarXiv:2610.09590v1 Announce Type: cross Abstract: Long-running autonomous agents must reuse accumulated reasoning experience without allowing explicit historical memory and LLM context to grow indefin→9 Oct 2026QUILT: Rethinking Sparse-Attention Prefill through Shared Query ExecutionarXiv:2610.11134v1 Announce Type: new Abstract: Sparse attention reduces the cost of long-context attention, but existing kernels typically process queries independently, repeatedly loading and dequan→9 Oct 2026Internalizer: Portable Context-to-Parameter Mapping for Very Large Language ModelsarXiv:2610.11715v1 Announce Type: new Abstract: Hypernetworks that map a context directly to a LoRA adapter let a large language model carry that context in its weights, but prior work has demonstrate→9 Oct 2026FlowState: Execution State as Memory for Long-Horizon LLM AgentsarXiv:2609.34565v2 Announce Type: replace Abstract: Long-horizon tasks require LLM agents to continually draw on information from earlier interactions. However, retaining the full history increases co→12 Oct 2026Taking Tokenization off the Host for Agentic LLM ServingarXiv:2610.13325v1 Announce Type: cross Abstract: Agentic workloads resend long contexts that barely change between calls. Prefix caching now skips most of their prefill, yet every request must still →12 Oct 2026Adaptive DHiSparse: Speculative Decoding over a Load-Adaptive KV HierarchyarXiv:2610.13708v1 Announce Type: new Abstract: Long-context serving runs out of KV memory before the hardware reaches its useful throughput. HiSparse stores history in host memory and fetches only th
CompanyNVIDIA8 recent entries6 Oct 2026LoCoSplat: Real-Time Feed-Forward 3D Gaussian Splatting with Minimal 3D ReasoningarXiv:2610.04351v1 Announce Type: new Abstract: Feed-forward 3D Gaussian Splatting (3DGS) increasingly aggregates multi-view evidence with heavy learned 3D networks. We propose LoCoSplat (Local-Contex→6 Oct 2026Efficient Analog-Initialized Latent Transport for Spatially Coherent Probabilistic Downscaling from Global to Kilometer ScalesarXiv:2610.03736v1 Announce Type: cross Abstract: Probabilistic downscaling must represent kilometer-scale structure left unresolved by a deterministic regional prediction. We introduce an analog-init→7 Oct 2026WareFly-VLA: A Vision-Language-Action Framework for UAV Navigation and Human Tracking in Smart WarehousesarXiv:2610.08526v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models have achieved impressive results in robotic manipulation and ground-mobile navigation, yet language-conditioned co→8 Oct 2026Reproducible LLM Inference Benchmarking: A Sequential Isolation Protocol for Regression TestingarXiv:2610.09778v1 Announce Type: cross Abstract: Reproducible benchmarking of Large Language Model (LLM) inference is challenging because repeated measurements can vary with execution and system stat→9 Oct 2026Real Long-Term Memory for AI: A 50-Million-Token Window That Is Faster and Cheaper Than RecomputearXiv:2610.10845v1 Announce Type: cross Abstract: A large language model can only use the text that fits in its context window, and it recomputes its internal key-value (KV) state for a prompt every t→9 Oct 2026Read What Matters: Query-Adaptive Quantization for KV CachesarXiv:2610.11245v1 Announce Type: cross Abstract: KV-cache entries are stored before their future queries are known, but each decoding query needs precision in different places. We study this mismatch→12 Oct 2026Taking Tokenization off the Host for Agentic LLM ServingarXiv:2610.13325v1 Announce Type: cross Abstract: Agentic workloads resend long contexts that barely change between calls. Prefix caching now skips most of their prefill, yet every request must still →12 Oct 2026RAMP: Recurrent Adaptive Mixed Precision for Efficient Prefill in Recurrent-Depth Language ModelsarXiv:2610.13041v1 Announce Type: new Abstract: Recurrent-depth language models improve inference-time reasoning by repeatedly applying a shared network to refine internal representations, but the add