Every paper checked — nothing hidden
All papers
Every paper checked for brief #4 of 12–19 Oct 2026 — nothing is hidden. Brief papers first.
All17,313In brief24More (on-topic)3,333Not relevant13,754Not assessed87Older352Could not confirm93Blogs with no paper266All blogs284
| Paper | Topic | Relevance | Feedback |
|---|---|---|---|
| Same Claim, Different Interpretations: How LLM Agents Resolve Ambiguity in Scientific Claims This paper proposes Claim Cards to make agent interpretations explicit when verifying ambiguous natural-language scientific claims. Ranked #374New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Critiques scientific verification benchmarks where implicit interpretations distort evaluation scores against ground truth. | |
| Query-Adaptive Neuron Steering for LLMs This paper proposes a framework that dynamically steers internal language model neurons based on query-induced activation patterns. Ranked #374Preprint0/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Presents lightweight query-adaptive neuron gating to improve inference. | |
| Fish Audio Drama 3 Technical Report The paper introduces Fish Audio Drama 3, an open-source text-to-speech model designed for multi-character dialogue, long-form synthesis, and iterative voice revision. Ranked #374Preprint0/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Introduces a multimodal model that translates text into expressive speech performances. | |
| Do Theorem Provers Need Theorem-Proving Agents? mini-Lean-agent: A Coding-Agent Baseline for Lean The paper presents a minimal coding agent baseline for Lean theorem proving using standard bash tooling instead of specialized harnesses. Ranked #374Surprising resultPreprint6/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Tests whether minimal coding agents can complete multi-step theorem proving. | |
| Predicting Alignment Generalization with Value Representations Evaluates whether internal model representations can predict how fine-tuning on one value generalizes across other held-out values. Ranked #374New way to see a problemPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Analyzes how safety alignment targets generalize to unseen contexts to prevent unexpected model behaviors. | |
| DivAlgo: A systematic evaluation of algorithmic diversity for code generation models The paper introduces a benchmark and similarity metric to measure the algorithmic diversity of solutions produced by code generation models. Ranked #375Surprising resultPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Presents the DivAlgo benchmark and a similarity metric to evaluate code generation models. | |
| CrossMean: Model Merging by Pairing Merged and Expert Activations This paper presents an activation-pairing method and selection criterion to improve closed-form model merging without retraining. Ranked #375Preprint0/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Enables merging fine-tuned models without retraining to create efficient unified architectures. | |
| GeoFix: Geometry Fixing for 4D Consistent Generation The authors introduce a framework that uses cross-view depth consistency as a single reward to improve 4D video generation geometry. Ranked #375Preprint0/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Improves 3D and 4D geometric consistency in multimodal video diffusion models. | |
| Who is the 'I' in AI? Establishing Decentralized Identity and Accountability for Autonomous Agents Proposes a decentralized identity framework using self-sovereign identity principles to establish verification and accountability for autonomous agents. Ranked #375New way to see a problemPreprint6/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Proposes decentralized identity and accountability frameworks specifically for autonomous AI agents. | |
| OnTrack: Real-Time Monitoring and Intervention in LLM Agent Trajectories via Streaming Structure-Aware Optimal Transport Proposes a streaming optimal transport method to monitor LLM agent trajectories in real time against reference runs. Ranked #375New way to see a problemPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Develops runtime safeguards to block unintended or dangerous autonomous actions during deployment. | |
| What Is a Clarification? Estimating Model-Dependent Input Ambiguity The paper formalizes clarification criteria to estimate model-dependent input ambiguity based on accessible and valid answers. Ranked #376New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Proposes a black-box methodology to evaluate and quantify model-dependent input ambiguity. | |
| DeKoR: Decomposed Knowledge Routing for Efficient GNN--LLM Fusion This paper proposes a decomposed routing framework that distills large language model knowledge into lightweight graph neural networks. Ranked #376Preprint0/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Distills LLM knowledge into lightweight graph experts for efficient fusion and inference. | |
| Overtaught, Underlearned: Learner-Centered Distillation from Multi-Agent Discussion Distills multi-agent discussions into a single student model by grouping redundant reasoning traces and revisiting unlearned examples. Ranked #376New way to see a problemPreprint6/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Investigates distilling multi-agent collaborative discussion trajectories into a single reasoning student model. | |
| ReSI: Recursive Safety Improvement toward Resistant and Resilient AI Presents ReSI, a recursive safety framework using cyclical evaluation and updates to improve AI resilience against emergent threats. Ranked #376New way to see a problemPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Focuses directly on safety alignment, automated red teaming, and resilience to emerging AI risks. | |
| SpatialASM: Internalizing Active Mentalization for Spatial Reasoning Trains vision-language models to perform active spatial reasoning through novel-view generation and simulated mentalization trajectories. Ranked #376Preprint0/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Enhances large vision-language models with proactive multi-view spatial mentalization and reasoning. | |
| SoK: Grading Open-Text Legal Answers, from Law School Exams to Trustworthy Rubric Judges The paper systematizes grading requirements for open-text legal exams and compares eight evaluation paradigms using human and model judges. Ranked #377New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Analyzes LLM-as-a-judge reliability, rubrics, and evaluation methodology for complex open-text answers. | |
| Linear-Time Non-Local Codec Placement for Machine Learning Model Compression This paper introduces a linear-time algorithm to place codec operators in computational graphs to compress operand traffic during on-device inference. Ranked #377Preprint0/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Reduces operand traffic and memory footprint for on-device machine learning inference. | |
| Apertus 1.5: From Open Text Models to Open Multimodal Reasoners The paper presents open-source multimodal models extended to process text, images, and audio with long-context reasoning capabilities. Ranked #377Preprint0/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Introduces a multimodal foundation model supporting text, image, and audio understanding. | |
| EAU: Environment-Agent-User Co-evolution for Training User-Centric Agents Co-evolves the user simulator, environment tools, and rewards during training to improve interactive multi-turn language model agents. Ranked #377New way to see a problemPreprint6/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Develops a co-evolution framework to train multi-turn, tool-using conversational LLM agents. | |
| Can Language Models Learn When to Abstain? Policy Learning and Calibrated Answer Selection The paper studies policy learning and answer-selection mechanisms to help language models decide when to abstain on factual questions. Ranked #377Surprising resultPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Addresses model reliability and reducing factual errors through calibrated abstention and confidence filters. | |
| SUPRA-TEX: 3D Generation with Super-Aligned Texture Proposes a framework to dress 3D meshes with aligned materials by decoupling visible surface estimation from observation-guided 3D completion. Ranked #378Preprint0/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Uses multimodal LLMs and diffusion transformers to generate aligned textures from images. | |
| RCCM: Diagnosing Gains and Harms in Reasoning-Prompt Transfer The paper analyzes question-level variations and prompt-execution mismatches when transferring reasoning prompts across different language models. Ranked #378Surprising resultPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Presents an evaluation framework analyzing mismatches and hidden degradation in reasoning-prompt benchmarks. | |
| FENAS: A Few-Shot Meta-Ensembling Framework for Efficient Neural Architecture Search with Synergized Zero-Cost Proxies This paper proposes a few-shot meta-ensembling framework that combines zero-cost proxies to rank neural architectures efficiently. Ranked #378Preprint0/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Proposes an efficient few-shot neural architecture search method to optimize model design. | |
| SLS-Bench: A Benchmark for Incident Log Summarization with Synthetic Observability Data Introduces a benchmark of synthetic observability data and incident reports to evaluate automated incident log summarization. Ranked #378New testPreprint6/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Evaluates language models acting as agents for incident log summarization. | |
| Tracing and Taming Hallucinated Terms via Subsequence-Association Filtering and Breadth-Aware Selection for LLM Query Expansion The paper proposes a training-free query expansion method that filters hallucinated terms using corpus-conditioned cross-context reproducibility. Ranked #378New way to see a problemPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Studies mechanisms and mitigation of LLM hallucinations during query expansion generation. | |
| Gen4P: Video Generators are 4D Perceivers Repurposes a pretrained video generator into a single-pass feed-forward system to estimate 4D motion, depth, and camera poses. Ranked #379Preprint0/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Repurposes video generative models for unified 4D visual perception and motion tracking. | |
| How to Evaluate When You Don't Know How to Evaluate? Choosing Reliable Setups for Base Language Model Benchmarking The paper investigates base language model benchmarking setups to identify evaluation configurations that produce consistent, non-random, and monotonic performance signals. Ranked #379New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Investigates evaluation setups and signal criteria for reliable LLM benchmarking. | |
| Zeroth-Order Fine-Tuning of LLMs in Learnable Low-Rank Subspaces This paper proposes a zeroth-order fine-tuning method for language models that optimizes within task-adaptive learnable low-rank subspaces. Ranked #379Preprint0/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Enables memory-efficient forward-only fine-tuning of LLMs in low-rank subspaces. | |
| Dream2Discern: Learning from Hard Latent Variants for Runtime Failure Prediction in Multi-Agent Systems The paper presents a runtime auditor that predicts execution failures in multi-agent systems using loss-guided perturbations to identify hard failure cases. Ranked #379New way to see a problemPreprint6/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Presents a runtime auditor predicting terminal failures in LLM multi-agent trajectories. | |
| Personalization Without Stereotyping: Do Speech LLMs Know When to Turn a Deaf Ear? The paper introduces a benchmark to measure demographic robustness, stereotyping, and intentional personalization in speech language models. Ranked #379New testPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Evaluates demographic bias, stereotyping risks, and reliable personalization in deployed speech models. | |
| MMSearch-OPD: Easy Made Hard, Hard Made Learnable for Long-Horizon Multimodal Search Agents The paper proposes a training method combining data refinement with reinforcement learning and distillation to improve long-horizon multimodal search agents. Ranked #380Preprint0/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Develops reinforcement learning and distillation for long-horizon multimodal search agents. | |
| Fantastic Metrics and How to Find Them: Meta-Evaluating Metrics for Multi-lingual Style-Personalized Generation The paper proposes a regression-based meta-evaluation framework and benchmark to assess text evaluation metrics for multilingual style-personalized generation. Ranked #380Surprising resultPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Proposes a meta-evaluation framework and benchmark to assess text evaluation metrics and LLM judges. | |
| DeltaNet-PC: Test-Time Memory Without Backpropagation Through Time This paper formulates sequential test-time memory updates as latent variables within a predictive coding framework without backpropagation through time. Ranked #380Preprint0/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Introduces an efficient test-time memory mechanism that removes backpropagation through time. | |
| Computational Reflective Equilibrium for Agentic AI: A Rawlsian Alignment Scaffold for Governance The paper proposes an ethical governance scaffold based on reflective equilibrium to resolve conflicting instructions and policy rules in agentic workflows. Ranked #380New way to see a problemPreprint6/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Designs an ethical alignment and governance scaffold governing agent tool actions and workflows. | |
| Narrow and Deep: An Ontology Tower as the Knowledge of an LLM Agent for an Industrial Equipment System Proposes a narrow-and-deep ontology tower to structure equipment knowledge for language model agents operating industrial air-handling systems. Ranked #380New way to see a problemPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Addresses operational reliability and misjudgment reduction in real-world industrial deployments. | |
| J-tau: A Fully Localized Japanese Benchmark for Tool-Agent-User Interaction The paper introduces a localized Japanese benchmark for evaluating tool-using conversational agents in customer-support scenarios. Ranked #381New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Presents a localized benchmark and fixes scoring flaws in tau-bench for agent evaluation. | |
| Learning to Sync at the Edge: Client-Side Adaptive Synchronization for Federated Learning The paper introduces a client-side reinforcement learning scheduler to optimize synchronization decisions in edge federated learning. Ranked #381Preprint0/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Improves edge training efficiency and communication costs via adaptive client synchronization. | |
| Small but Mighty: Test Suites as Improvement Signals for Self-Evolving Agents The paper presents an evolutionary search method that generates small, high-quality test suites to verify code rewrites in self-evolving agents. Ranked #381New way to see a problemPreprint6/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Focuses on verifying and guiding code rewrites for self-evolving language model agents. | |
| H-DDCM: Hadamard Codebooks for Fast Generative Image and Video Compression This paper presents a generative compression framework using implicit randomized Hadamard dictionaries to speed up diffusion-based image and video coding. Ranked #381Preprint0/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Investigates scalable compression for both image and video generative models. | |
| What Output-Only Review Cannot Verify: Study Contracts for Research Agents Proposes study contracts to register execution obligations and verify research agent outputs against approved protocol parameters. Ranked #381New way to see a problemPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Addresses reliability, auditability, and defect detection in deployed autonomous agent systems. | |
| On the Limits of Representation-Based Test-Time Adaptation for Multimodal LLMs Analyzes why feature-based test-time adaptation fails to recover accuracy on corrupted inputs in generative multimodal language models. Ranked #382Surprising resultPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Evaluates corruption robustness and test-time adaptation limits in multimodal LLMs. | |
| Refined Grid Sampling for Efficient Implicit Neural Representations of Large-Scale Scientific Data The paper proposes a dynamic stratified grid sampling approach to train implicit neural representations on large scientific data faster. Ranked #382Preprint0/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Optimizes coordinate sampling to achieve faster training of implicit neural representation models. | |
| HyWe: Unifying Search and Operation for Real-World Hybrid Web Tasks Introduces a 35B model, trajectory pipeline, and benchmark unifying search and browser interaction within a single web agent. Ranked #382New way to see a problemPreprint6/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Builds a unified web agent combining multi-step search and browser interaction. | |
| 4LC: 4D Latent Cache for Efficient Conditioning in Dynamic World Modeling The paper introduces a 4D latent cache to reuse static and dynamic visual representations for efficient conditioning in video generation models. Ranked #382Preprint0/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Presents a multimodal spatiotemporal representation cache for dynamic world video modeling. | |
| Knowing Is Not Telling: Identity Ossification in LLM Representations of Trans-border Communities Proposes a diagnostic framework to study how language models compress fluid trans-border ethnic identities into rigid nation-state categories. Ranked #382Surprising resultPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Assesses cultural bias, representational harms, and reliable factual behavior in deployed models. | |
| AI Consilium: a Benchmark of LLM Clinical Multidisciplinary Second Opinions The authors develop a clinical benchmark evaluating language model pipelines for generating multidisciplinary second opinions on complex medical cases. Ranked #383New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 17 Oct, 06:17 | On-topic Introduces a multi-dimensional benchmark evaluating LLM diagnostic reasoning against calibrated judges. | |
| VLX-Go: Robust Embodied Tracking through Multi-Stage Learning and On-Policy Refinement The paper presents a vision-language policy combining pre-aligned representations and multi-stage learning to improve robotic person tracking among distractors. Ranked #383Preprint0/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Uses vision-language representations and multimodal reasoning for embodied tracking. | |
| ULPack: Reference-Conditioned Lossless Compression of Checkpoint Trajectories The paper introduces a lossless compression codec for model checkpoint trajectories conditioned on reference floating-point exponents. Ranked #383Preprint0/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Provides a lossless compression codec that cuts storage overhead for model checkpoint trajectories. | |
| ReTAC: Residual Test-Time Agentic Computation for Video Spatial Reasoning Presents a multi-agent framework that allocates test-time computation only to unresolved steps for video spatial reasoning tasks. Ranked #383New way to see a problemPreprint6/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Presents a multi-agent test-time framework with planning, tool use, and reflection for spatial reasoning. | |
| MADS: Multi-Agent Dialog Simulation for Robust Conversational Agents Generates synthetic multi-agent dialogues to benchmark conversational agent robustness against non-cooperative and adversarial user behaviors. Ranked #383New testPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Focuses on agent deployment reliability and robustness under adversarial or non-cooperative behavior. | |
| GraphACM: Graph-based Action Consistency Measurement for Uncertainty Quantification in LLM Agents The paper builds state graphs across multiple agent rollouts to evaluate behavioral consistency and predict execution failures. Ranked #384New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 17 Oct, 06:17 | On-topic Introduces a graph-based metric and framework to evaluate agent uncertainty and execution reliability. | |
| Skill-Decoupled On-Policy Expert Distillation for Unified Vision-Language Models The paper introduces a skill-decoupled on-policy distillation method to merge vision-language experts without conflicting gradients or reward hacking. Ranked #384Preprint0/10 suggested | Multimodal models via arxiv · 17 Oct, 06:17 | On-topic Proposes expert distillation to integrate visual reasoning skills into unified vision-language models. | |
| PGSB: Pretrained-Guided Shared Basis for LoRA Model Merging The paper proposes a method to align and merge multiple Low-Rank Adaptations using a shared basis guided by pretrained model weights. Ranked #384Preprint0/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Presents a method to merge multi-task LoRA adapters for efficient model storage and multi-tasking. | |
| REVEAL: Reverse Engineering Agentic Latents from Frontier-Model Traces Extracts reusable local control signals from frontier model traces to guide smaller language model agents without extra target-model training. Ranked #384New way to see a problemPreprint6/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Develops a framework to guide interactive LLM agent trajectories using frontier-model traces. | |
| Anytime-valid detection of LLM weight exfiltration Develops a sequential e-process to detect stealthy weight exfiltration through LLM generation tokens over unbounded monitoring horizons. Ranked #384New way to see a problemPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Addresses LLM inference server weight exfiltration and safety monitoring against stealthy attacks. | |
| Selection Is Not Learning: Choosing Model Futures The paper separates task generation from model update inheritance to avoid compounding errors in self-evolving language model loops. Ranked #385Surprising resultPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 17 Oct, 06:17 | On-topic Analyzes evaluation-driven model inheritance decisions and selection error in self-evolving LLM loops. | |
| Frequency-Step Cache: Separating Synchronization and Repair for Efficient Autoregressive Video Diffusion This paper introduces a training-free caching method that separates cache synchronization and computation repair to accelerate autoregressive video diffusion generation. Ranked #385Preprint0/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Improves inference speed and reduces compute for autoregressive video diffusion via caching. | |
| Learning to GUIDE the Group: Self-Learning LLM Facilitation Across Multi-Party Tasks Presents a framework for developing language model facilitators that balance group dynamics, psychological safety, and task goals across multi-party conversations. Ranked #385New way to see a problemPreprint6/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Investigates LLM agents taking action to facilitate multi-party interactions across group contexts. | |
| ForcingBooster: Adaptive Patch-wise Denoising for Fast Autoregressive Video Diffusion Introduces an adaptive patch-wise denoising framework that stops easy patches early to speed up autoregressive video diffusion. Ranked #385Preprint0/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Improves autoregressive video diffusion generation efficiency through adaptive patch-wise denoising. | |
| The Limits of Query Monitoring against Distributed Model Extraction The paper evaluates the theoretical and empirical limits of using query monitoring to detect distributed model extraction campaigns among ordinary users. Ranked #385New way to see a problemPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Studies query monitoring defenses against distributed model extraction attacks on deployed models. |
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