Every paper checked — nothing hidden
All papers
Every paper checked for brief #4 of 12–19 Oct 2026 — nothing is hidden. Brief papers first.
All17,312In brief24More (on-topic)3,333Not relevant13,753Not assessed87Older351Could not confirm93Blogs with no paper266All blogs284
| Paper | Topic | Relevance | Feedback |
|---|---|---|---|
| Beyond Confidence: Rethinking Uncertainty Calibration in Deep Code Models This study evaluates whether confidence scores and calibration methods effectively identify failure cases in deep learning models for code tasks. Ranked #57Surprising resultPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:19 | On-topic Evaluates uncertainty calibration and selective prediction for deep code models. | |
| Believed but Not Said: Measuring Hidden Belief Collapse in Multi-Agent LLM Discussions The paper demonstrates that a single adversarial agent can cause benign models in multi-agent discussions to quietly adopt false beliefs. Ranked #57Surprising resultPreprint8/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Examines failure modes and consensus dynamics in multi-agent LLM discussion systems. | |
| Lost in the Fallback: How Reliably Do Typed Decision Models Use Fallback Options? This paper evaluates how reliably typed decision models switch to fallback options and remain consistent under equivalent decision rules. Ranked #57Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Introduces the Paired Fallback Robustness Test to evaluate decision model consistency on fallback rules. | |
| The Company a Question Keeps: Auditing Open Jev-Style Models for Retrieval This paper audits request independence in open Jev-style retrieval models across multi-passage query states. Ranked #57Surprising resultPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Audits passage retrieval models and query-evidence scoring independence. | |
| CacheLink: Functional KV Transport for Zero-Prefill Cross-Model Context Handoff This paper introduces a method to translate key-value caches between different language models, enabling context handoffs without reprocessing input tokens. Ranked #57Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Eliminates prefill overhead for cross-model serving, improving inference efficiency. | |
| Visual Dependence Does Not Imply Answerability: A Systematic Analysis of Answerability Signals in Frozen InstructBLIP Analyzes answerability signals in frozen visual question answering models, finding standard confidence and alignment metrics fail to reliably detect unanswerable inputs. Ranked #57Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Investigates answerability signals and visual grounding in multimodal vision-language models. | |
| Chain of Thought Monitoring Can Fail Even When CoT Is Necessary This paper shows chain-of-thought monitoring can fail even when reasoning is necessary, proposing a multi-level hierarchy to measure monitorability. Ranked #57Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Reveals limitations in using chain of thought monitoring to detect AI misbehaviour. | |
| Plausible Is Not Enough: Trust and Evidence in AI-Authored Pull Request Review The authors survey software practitioners to analyze differences in trust, evidence requirements, and review practices for AI-authored pull requests. Ranked #58New way to see a problemPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:19 | On-topic Surveys practitioner verification and trust criteria when reviewing AI-authored pull requests. | |
| The Self-Improvement Problem The paper formalizes the theoretical limits of automated gates evaluating self-improvement updates in autonomous agent code. Ranked #58New way to see a problemPreprint8/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Analyzes theoretical limits of autonomous agent self-improvement and tool updates. | |
| AgentCIScope: Grounded Contextual Integrity Evaluation for LLM Agents The paper introduces an executable evaluation platform and benchmark to measure contextual integrity and privacy compliance in multi-step language model agents. Ranked #58New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Introduces a standardized evaluation platform and benchmark measuring agent-level contextual integrity. | |
| SSEmb: Training a Generalizable Speech Retrieval Model Using Only Automatic Speech Recognition Data The paper trains an end-to-end speech retrieval model using standard speech recognition pairs and lightweight adapters without task-specific retrieval datasets. Ranked #58New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Examines speech-to-text document retrieval to ground voice agents without needing intermediate transcription. | |
| E8 Lattice Key Quantization for Low-Bit KV-Cache Compression This paper presents a lattice vector quantization method that compresses attention key-value caches to two bits while preserving model quality. Ranked #58Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Proposes vector quantization of KV caches for efficient, low-memory LLM serving. | |
| VLA-GAUGE: Systematically Evaluating Generalization and Robustness in Vision-Language-Action Models Introduces a diagnostic evaluation framework to systematically test generalization and perturbation robustness in vision-language-action robotic models. Ranked #58New testPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Systematically evaluates multimodal Vision-Language-Action models across generalization tasks. | |
| Seeing Through the Forgery Is Not Enough: Regressive Sycophancy under Fabricated Evidence in Medical Vision-Language Models The authors show that medical vision-language models frequently abandon correct clinical answers when prompted with fabricated medical documents. Ranked #58Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Examines vulnerability to fabricated evidence and hallucinated diagnosis flips in safety-critical deployment. | |
| Skip the Compressor: Coding Agents Fix More Issues When They Pick Whole Files The paper shows that providing whole selected files to coding agents outperforms prompt compression and retrieval under fixed token budgets. Ranked #59Surprising resultPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:19 | On-topic Examines context management strategies to improve coding agent performance on SWE-bench. | |
| Screwtape: Adversarial Transcript Editing for Monitor Red-Teaming The paper introduces an adversarial editing pipeline that alters agent execution transcripts to red-team action-monitoring safety systems. Ranked #59Surprising resultPreprint8/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Focuses on generating attacks that alter agent transcripts to evade runtime monitoring. | |
| Likelihood Is Not Authorship: Can We Reliably Measure Human Contribution in AI-Assisted Writing? The paper reveals vulnerabilities in prompt-predictability metrics used to estimate human contribution in AI-assisted writing. Ranked #59Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Exposes critical vulnerabilities and benchmark manipulation in metrics estimating human contribution in AI writing. | |
| SEA-HELM Audio: Evaluating Multilingual ASR-LLM Pipeline Performance Across SEA-HELM Subsets The paper presents an audio evaluation benchmark assessing accuracy drops between speech-input and text-input pipelines in Southeast Asian languages. Ranked #59New testPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Evaluates multimodal speech-and-text pipeline performance across multilingual audio inputs. | |
| AiSAQ-in-Filtering for DRAM-free Filtered Information Retrieval The paper introduces a product quantization technique that encodes vector data and category labels together to reduce memory in filtered search. Ranked #59New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Proposes vector quantization methods to optimize memory and efficiency for filtered document retrieval. | |
| Exploring Jailbreak Vulnerability Across Depth-Based Dynamic Inference in Large Language Models Studies how depth-based early-exit inference affects language model safety, finding shallow exits resist jailbreaks better than deep exits. Ranked #59Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Investigates depth-based dynamic early-exit inference and its impact on model behavior. | |
| Can Agents Forget When Asked? A Benchmark for Memory Unlearning in LLM Agents The authors introduce Bemula, a benchmark designed to evaluate how accurately language model agents erase specific user memories upon request. Ranked #59New testPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Addresses user privacy and data removal compliance in persistent AI agents. | |
| Waypoint-OPD: Transferring RL-Induced Policy Shifts via Gated On-Policy Distillation Gates reinforcement learning policy-shift distillation using intermediate checkpoints to ensure student models only learn consistent teacher shifts. Ranked #60New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Evaluates gated policy distillation on code reasoning tasks. | |
| INFUSE: A Unified Surface Benchmark for Indirect Prompt Injection in Agentic Systems The paper introduces an end-to-end benchmark to evaluate indirect prompt injection risks across long-horizon agent workflows. Ranked #60New testPreprint8/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Evaluates vulnerabilities and tool-use lifecycle execution in long-horizon autonomous LLM agents. | |
| Beyond Downstream QA: Rethinking How We Evaluate Agent Memory The paper presents a benchmark that isolates agent memory evolution from downstream retrieval and generation failures. Ranked #60Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 17 Oct, 06:17 | On-topic Introduces a diagnostic benchmark for evaluating agent memory stores. | |
| Vision-Language Models Integrate Conflicting Evidence Like Biased Bayesian Observers The paper proposes a Bayesian cue-combination model to explain how vision-language models integrate conflicting visual and textual evidence. Ranked #60New way to see a problemPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Investigates how vision-language models combine and resolve conflicting visual and textual evidence. | |
| The Effect of Layer Ordering in Hybrid Architectures This paper analyzes how layer ordering and selection affect performance across tasks in hybrid attention model architectures. Ranked #60Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Examines optimal layer ordering in hybrid architectures under strict resource and memory budgets. | |
| Recall Begets Recall: Recurrent Memory Ranking for Personalized LLMs The paper proposes a recurrent memory ranking loop that dynamically expands retrieval cues and self-terminates when context is sufficient for personalized generation. Ranked #60New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Addresses memory ranking and context grounding for personalized LLMs via recurrent retrieval loops. | |
| Why Agentic Workflows Fail: A Taxonomy Derived from Literature and Empirical Data The paper presents a taxonomy that locates agent workflow failures across specific workflow stages and agent functional capabilities. Ranked #60New way to see a problemPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Provides an empirical failure taxonomy to diagnose unreliability in deployed agent workflows. | |
| Stronger Judges Do Not See More: Deployment-Integrity Blindness in LLM Evaluation Introduces a benchmark measuring how output-only model judges fail to detect tampered runtime environments in agent deployments. Ranked #61Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 17 Oct, 06:17 | On-topic Introduces a benchmark evaluating how output-only LLM judges fail to detect runtime deployment tampering. | |
| Why Generate a Click? Plug-in Decision Heads for Web Agents This paper introduces plug-in decision heads that read action choices directly from visual agent hidden states rather than generating text tokens. Ranked #61Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Integrates vision-language models with visual token pooling for GUI understanding. | |
| New Model, Old Habits: Behavior Transfer under Model Swapping in Multi-Session LLM Agents The paper analyzes model swapping in multi-session agents and proposes a history summarization method to preserve strong reasoning behaviors. Ranked #61Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Explores model swapping to balance inference cost and performance across agent sessions. | |
| Player-1: Learning to Play from Synthetic Experience Develops a post-training framework that trains computer-use agents for video games using synthetic interactive experiences and an expanded action space. Ranked #61New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Develops computer-use agents that interact with complex digital game environments. | |
| Retrieving Complementary Evidence for Multi-Hop RAG with Semantic Gain Graphs The paper constructs a semantic gain graph using offline model evaluations to retrieve complementary, non-redundant documents for multi-hop question answering. Ranked #61New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Proposes semantic gain graphs to retrieve nonredundant complementary evidence for multi-hop RAG. | |
| Executable Prefix Values for Locating Agent Failures The paper evaluates judge labels on agent steps by restarting failed trajectories from intermediate states to identify true failure points. Ranked #61Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Improves reliability and failure debugging for deployed software engineering agents. | |
| Scaling Agentic Data for Long-Horizon Terminal Intelligence Introduces a synthetic data generation framework to produce long-horizon task trajectories for terminal agents. Ranked #61New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 12 Oct, 16:28 | On-topic Focuses on terminal commands and code-level execution in software environments. | |
| When Judges Agree and Are Wrong: Consistency-Accuracy Dissociation as a Blind Spot for Label-Free Evaluation Examines failure modes in label-free evaluation where models reach high consistency across perturbations while generating identical incorrect answers. Ranked #62Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 17 Oct, 06:17 | On-topic Critiques label-free evaluation and consistency-based scoring, uncovering blind spots where models agree incorrectly. | |
| FDE-Gym: The Last Mile of AI Delivery The authors introduce FDE-Gym, a benchmark of 95 customer delivery tasks evaluating AI agents on ambiguous requirements and live software environments. Ranked #62New testPreprint7/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Evaluates AI agents operating in complex environments to deliver end-to-end customer projects. | |
| Are We Really Measuring Forgetting? Pitfalls in Evaluating Machine Unlearning for Multimodal LLMs The paper identifies evaluation pitfalls in multimodal machine unlearning and introduces a benchmark grounded in real-world knowledge. Ranked #62Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Investigates unlearning capabilities and benchmark protocols specifically for multimodal LLMs. | |
| Manacá-1B-Instruct-2: Reproducible Safety Alignment for a Native Brazilian-Portuguese LLM. Negative DPO Results, a Controlled Composition Scan, and a Silent Failure Mode of the LLM Judge Documents safety alignment methods, negative preference tuning outcomes, and automated judge limitations for a Portuguese language model. Ranked #62Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Presents training and alignment findings for Manacá-1B, a 1.72B parameter small language model. | |
| Computed, not Memorized: Bit-Factorized Identifiers for Efficient Generative Retrieval The paper presents a bit-factorized document identifier design that allows generative retrieval models to generalize to unseen documents without retraining. Ranked #62New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Introduces a factorized identifier design to improve generative document retrieval for unseen documents. | |
| Many Steps into One: Reasoning Contraction and the Limits of Safe Memory Reuse for LLM Agents The paper analyzes the failure modes of agent memory reuse and evaluates certified memory update strategies when facts change. Ranked #62Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Addresses deployment reliability by preventing agents from using stale memories to generate false answers. | |
| ReTerm: Recovery Training for Self-Improving Terminal Agents The authors present a training framework and dataset that enables terminal coding agents to self-improve by recovering from execution errors. Ranked #62New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Focuses on terminal agents performing complex coding tasks and software execution. | |
| INFUSE: A Unified Surface Benchmark for Indirect Prompt Injection in Agentic Systems The paper introduces an end-to-end benchmark to evaluate indirect prompt injection risks across long-horizon agent workflows. Ranked #63New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 17 Oct, 06:17 | On-topic Introduces a standardized benchmark of 40 tasks to evaluate agent vulnerabilities across frontier models. | |
| What Does LALM Post-training Learn? Rethinking Audio Understanding and Reasoning Capabilities The paper analyzes post-training in audio-language models to separate genuine audio reasoning gains from question-format memorization. Ranked #63Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Investigates what multimodal large audio-language models learn during post-training. | |
| Embedding Geometry Shapes LLM Routing: Tracing Failure Modes and Improving Generalization The paper uses intermediate transformer hidden states instead of semantic embeddings to improve classifier-based prompt routing across unseen tasks. Ranked #63Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Improves LLM routing techniques to optimize multi-model selection and inference efficiency. | |
| Faithful Query Resolution for Conversational Search The paper evaluates query rewriting strategies to balance query fidelity and recall in conversational search systems. Ranked #63Surprising resultPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Examines conversational query rewriting and fusion to balance retrieval breadth and fidelity in conversational search. | |
| AutoEnvScaling: Automating the Data Flywheel with Terminal Agents The paper presents AutoEnvScaling, using terminal agents to automatically generate reinforcement learning environments from model rollouts. Ranked #63New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:18 | On-topic Terminal agents execute commands to solve software engineering and coding tasks. | |
| Agent-Reflex: Teaching Language Agents to Act Reflectively The paper introduces Agent-Reflex, a training framework designed to teach language agents how to reflect and recover from noisy environment feedback. Ranked #63New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Trains language agents to handle noisy tool feedback and reflect on failures. | |
| CWE-bench: Refocusing Agentic Security from Exploitation to Defense The paper presents CWE-bench, a benchmark of 120 held-out software tasks to evaluate AI agents on finding and repairing security vulnerabilities. Ranked #63New testPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Addresses software security vulnerabilities, defensive agent capabilities, and AI deployment safety. | |
| FDE-Gym: The Last Mile of AI Delivery The authors introduce FDE-Gym, a benchmark of 95 customer delivery tasks evaluating AI agents on ambiguous requirements and live software environments. Ranked #64New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 17 Oct, 06:17 | On-topic Introduces a benchmark evaluating language agents on real-world engineering delivery tasks. | |
| LED-BENCH: A Benchmark for Large-format Engineering Drawing Understanding The paper presents LED-BENCH, a multidisciplinary benchmark evaluating multimodal model understanding and complex reasoning across large-format engineering drawings. Ranked #64New testPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Presents a benchmark for testing multimodal LLMs on complex document reasoning over engineering diagrams. | |
| Why Generate a Click? Plug-in Decision Heads for Web Agents This paper introduces plug-in decision heads that read action choices directly from visual agent hidden states rather than generating text tokens. Ranked #64Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Reduces decoding latency and compute for web agents via plug-in decision heads. | |
| Data Curation and Model Souping: Unlocking Qwen3-0.6B for MS MARCO Passage Ranking The paper shows that data curation and model merging boost a small model's passage retrieval and ranking performance without architectural changes. Ranked #64Surprising resultPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Investigates passage retrieval and re-ranking performance using lightweight models via data curation and model souping. | |
| Cortex: Measurement-Gated Evolution and Pruning of Coding-Agent Skills and Rules The authors develop a system that systematically tests, evolves, and prunes skill and rule files used by coding agents. Ranked #64New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Automates the evolution and pruning of coding-agent skills and rules across software tasks. | |
| When LLM Agents See a Conflict but Still Proceed: Cross-Domain Dependencies in Network Slicing Shows that language agents often ignore identified cross-domain dependencies, causing unintended disruptive actions in network management. Ranked #64Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Demonstrates failure modes where agents ignore critical dependencies in deployment. | |
| Self-Evolving Agent Harness The paper formalizes a framework and theoretical generalization bounds for evolving an agent's software harness without updating model weights. Ranked #64New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Studies self-evolving agent scaffolding including prompts, memory, workflows, and tool execution. | |
| TEM: Temporal State Tracking Memory for Large Language Model Agents Presents a training-free framework that tracks changing conversational facts as versioned records to improve agent memory retrieval. Ranked #65New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Structures and retrieves versioned conversational facts, directly outperforming standard RAG. | |
| MAI-Gym: An Open All-in-One Platform for GUI Agent Evaluation and RL Training across Mobile and Computer Environments The paper provides an open platform and environment suite for evaluating and training GUI agents with online reinforcement learning. Ranked #65New testPreprint7/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Introduces a platform and training system for interactive GUI agents across environments. | |
| How Far Can Coding Agents Go in Visual Generation? The study evaluates coding agents generating images via executable code, analyzing their strengths in geometric constraints over photorealistic drawing. Ranked #65Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Examines visual generation and visual question answering using code-based representations. | |
| To Reason but Not to Stop: Understanding and Recovering Pruned Large Reasoning Models The paper shows pruned reasoning models fail by looping, proposing an activation steering method to restore proper termination. Ranked #65Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Studies and recovers termination failure in pruned large reasoning models using activation steering. |
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