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 |
|---|---|---|---|
| The COUNT: Counting N-grams Unlocks Scaling on Host Memory and Training-Free Adaptation This paper introduces COUNT, scaling language model memory without training parameters by storing precomputed n-gram counts directly in host memory. Ranked #96Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Enables memory-efficient LM scaling by storing precomputed n-gram embeddings in host memory. | |
| Efficient Scene-Text Refinement via Pixel-Space Grouped Image Generation Introduces PixText, a pixel-space grouped generation model for efficient localized text correction in generated images. Ranked #96New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Investigates multimodal scene-text refinement combining visual layout preservation and OCR accuracy. | |
| 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 #96New way to see a problemPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Improves agent reliability and error recovery when encountering noisy tool feedback. | |
| Unconstrained CTI-REALM with Open-Weights This paper evaluates open-weight language models against closed frontier models on a cybersecurity detection benchmark using an interactive telemetry environment. Ranked #96Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Analyzes benchmark constraints and evaluation artifacts in the CTI-REALM benchmark. | |
| Which Metadata Matters for LLM Tool Selection in MCP? Evidence from Controlled Factor-Level Interventions The authors run controlled experiments showing how parameter schema differences in metadata alter language model tool selection. Ranked #96Surprising resultPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Investigates how tool metadata schemas affect LLM agent tool selection. | |
| Co-adaptive Rule Routing and Constraining for Structured Knowledge Retrieval The paper presents a framework that jointly learns query rule assignment and rule-constrained evidence retrieval over structured knowledge bases. Ranked #96Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Proposes a co-adaptive rule routing framework to retrieve structured knowledge from external bases. | |
| Self-Conditioning Enables Deep Sequential Reasoning in Flow Matching Proves theoretically that self-conditioning enables genuine multi-step reasoning in flow matching where standard samplers fail. Ranked #97Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Studies visual reasoning and generation capabilities within deep generative flow matching architectures. | |
| Latent Compaction with Test-Time Training Compresses long-context key-value caches using test-time training on generic document prompts without task-specific labels. Ranked #97New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Compresses KV caches through test-time training, substantially improving memory and inference efficiency. | |
| When Is RTL Better? Auditing Evaluation Stability with Tool-Grounded Requirement Profiles The authors introduce tool-grounded requirement profiles to audit and stabilize how register-transfer-level code generation is evaluated. Ranked #97New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:19 | On-topic Audits evaluation stability and requirements enforcement for automated register-transfer level code generation. | |
| When Does an ASR Error Matter? Task-Role Diagnostics for Tool-Using Voice Agents The paper introduces a diagnostic protocol to evaluate how speech recognition errors affect structured tool calling in voice agents. Ranked #97New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces SpeechEvalX, a diagnostic evaluation protocol for assessing tool-calling robustness to speech errors. | |
| Legal-R1: Agentic Retrieval for Evidence-Based Legal Reasoning This paper introduces a multi-agent retrieval framework that coordinates search across legal statutes and precedent cases for grounded legal reasoning. Ranked #97Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Introduces an agentic RAG framework for legal evidence retrieval, selection, and grounded reasoning. | |
| Should SLMs be in the Driver's Seat? A Study of Local Models as Interpreters in Cloud-Written Agent Programs The paper demonstrates a hybrid architecture where cloud-generated agent code delegates localized private-data queries to edge models. Ranked #97New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Evaluates hybrid cloud-edge agent architectures combining planned programs with local execution. | |
| 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 #97New way to see a problemPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Investigates safety, regression budgets, and admission validation for self-evolving agents in deployment. | |
| CarryOn: A Dual-Loop Harness for Personalized and Reliable Robot Assistance Proposes a dual-loop harness augmenting frozen robot policies with persistent user preferences and proactive safety assurance. Ranked #98New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Augments vision-language-action multimodal policies for reliable personalized robotic manipulation. | |
| Memory as Weights: Internalizing Long-Term History for Streaming Videos The paper compresses video history into evolving lightweight model weights instead of competing for limited input context length. Ranked #98New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:17 | On-topic Reduces context overhead in streaming video inference using lightweight recurrent LoRA updates. | |
| DecisionRobust: Benchmarking Robustness for JEV Style Decision Models Across Text and Vision The paper introduces a benchmark evaluating the robustness of typed decision models against text, image, and prompt injection attacks. Ranked #98New testPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 15:06 | On-topic Benchmarks adversarial attacks and prompt injection across modalities to assess deployment reliability. | |
| The Curse of Knowledge in Role-Playing Language Models The paper tests whether role-playing language models leak private or unobserved character information across simulated interactive scenes. Ranked #98Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Constructs a benchmark using counterfactual scenes to evaluate knowledge leakage in role-play models. | |
| RALI@iKAT 2026: Retrieval-aware User Profile Denoising via Personalized Conversational Dense Retrieval The paper presents a retrieval-aware denoising method for conversational user profiles to improve personalized dense retrieval. Ranked #98Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Focuses on personalized dense retrieval and query profile denoising for conversational search systems. | |
| claimcheck: Measuring and Improving Specification Faithfulness The paper presents a benchmark to evaluate whether formal specifications generated by language models accurately reflect natural-language requirements. Ranked #98New testPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Evaluates LLMs formalizing requirements into code and formal specifications. | |
| AgentStripes: An Evidence-Graded Maturity Model for AI Agents The paper introduces a maturity model that grades artificial intelligence agents across multiple capability levels, evidence stages, and safety gates. Ranked #98New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Defines a maturity model evaluating AI agent engineering controls, observability, and processes. | |
| Rethinking the Role of Tool Graph Memory in Multi-Turn Tool Use The authors analyze tool graph memory in multi-turn agents and find that stored transitions provide little benefit over baselines. Ranked #99Surprising resultPreprint7/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Investigates multi-turn tool use and memory mechanisms in LLM agents. | |
| Unlocking Structured Pruning for Reasoning Language Models via Attention-Preserving MLP Trimming The paper proposes a training-free structured pruning method that trims multilayer perceptron layers while preserving attention mechanisms for reasoning tasks. Ranked #99Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Introduces a structured pruning method to reduce inference latency and memory in language models. | |
| $τ$-Emotion-Bench: Exposing the Interaction Fragility of LLM Agents through Real-World User Emotions The paper introduces a benchmark to measure how tool-calling agents perform when interacting with emotionally varied, impatient users. Ranked #99New testPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 15:06 | On-topic Exposes interaction fragility and reliability issues when deploying agents with non-ideal human users. | |
| DuoDiscover: Scaling Autonomous Discovery Beyond the Evaluation Bottleneck The paper proposes an agent framework that discovers lightweight proxy evaluators to bypass costly benchmark evaluations during autonomous engineering discovery. Ranked #99New way to see a problemPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Focuses on overcoming the evaluation bottleneck using proxy evaluators and fidelity checks. | |
| UMCR: Universal Medical Concept Recognition through Guideline Integration and Agentic Linking The paper introduces a framework combining guidelines and agentic linking to ground medical concepts across diverse text types and ontologies. Ranked #99Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Grounds medical text spans into external ontologies, reducing dependence on parametric memory. | |
| 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 #99New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Focuses on generating test suites to verify and repair code written by models. | |
| Omni-Modal LLMs Know More Than They Say This paper analyzes why omni-modal language models perceive non-textual inputs correctly yet fail to mention them in text outputs. Ranked #99New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Investigates representation alignment across vision, audio, IMU, and text in omni-modal LLMs. | |
| TextVerifier: Seeing Beyond Recognition to Verify Chinese Text Rendering The paper introduces TEXTVERIFIER, a verification framework using character structural sequences to detect fine rendering defects in generated Chinese text. Ranked #100New testPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Evaluates multimodal models and verifiers on identifying detailed visual text rendering defects. | |
| Diagnosing and Correcting Reward Hacking in Verifiable Instruction Following The paper analyzes reward hacking in verifiable instruction following and introduces a likelihood bonus method to maintain answer quality. Ranked #100Surprising resultPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 15:06 | On-topic Mitigates reward hacking and maintains response quality in verifiable instruction following. | |
| Ontology-Based Post-Coordinated Expression Assembly: from Clinical Narrative to Queryable Knowledge Graphs This paper introduces UNIGRAPHE, a deterministic method to assemble clinical text into queryable knowledge graphs conforming to SNOMED CT grammar. Ranked #100Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Converts unstructured clinical text into queryable knowledge graphs for structured evidence retrieval. | |
| Machine--human agreement in marking undergraduate assignments is specific to model, prompt and institution The paper examines machine grading on undergraduate essays across three universities, finding models compress score distributions and vary across institutions. Ranked #100Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Evaluates the reliability and cross-context validity of LLM judges marking assignments. | |
| Humans vs. Machines: A Comparison With AI Agents in Software Reverse Engineering This paper benchmarks language model agents against skilled humans on binary software reverse engineering tasks using interactive tools. Ranked #100Surprising resultPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Evaluates autonomous LLM agents interacting with reverse engineering tools over multi-step tasks. | |
| SpecForge: Recursive Self-Improvement for Coding Agents via Behavioral Specifications The paper presents a self-improvement method where coding agents refine natural-language behavioral specifications using execution-verified tests. Ranked #100New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Enhances coding agents through recursive self-improvement using behavioral code specifications. | |
| DoubtLess: Training-Free Contrastive Decoding for Efficient Reasoning The paper introduces a training-free contrastive decoding method where a small model guides a larger model toward shorter reasoning chains. Ranked #100Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Proposes training-free contrastive decoding to reduce token usage and improve inference efficiency. | |
| PrismaCoder: Pushing the Boundaries of Open Multimodal Code Intelligence through Decomposed Rubric Synthesis Introduces a decomposed rubric synthesis method to create training data for open multimodal models that generate visual code artifacts. Ranked #101New testPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 15:06 | On-topic Develops multimodal code generation for visual web artifacts and code. | |
| Rethinking LLM-Guided Visual Question Answering: Does Deeper Knowledge Integration Really Help? The study compares LLM guidance integration strategies for visual question answering, showing shallow late fusion outperforms deeper attention injection. Ranked #101Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Investigates integrating LLM knowledge into vision-language architectures for visual question answering. | |
| Scaling Repeated-Data Pretraining: Batch Size, Regularization, and GPU-Time Tradeoffs This paper investigates batch size, regularization methods, and runtime tradeoffs when pretraining language models on repeated finite data. Ranked #101Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Explores trade-offs between batch size, regularization, and GPU compute efficiency during pretraining. | |
| CultureBot: A Framework for Retrieval-Augmented Exploration of Cultural Heritage Data This paper introduces an interactive retrieval-augmented framework that combines knowledge graphs and text retrieval to explore digital cultural heritage archives. Ranked #101Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Introduces an interactive framework combining knowledge graphs and retrieval-augmented generation for cultural collections. | |
| Beyond Belief Nesting: Rethinking Higher-Order Theory of Mind in Large Language Models The paper introduces HopToM, a benchmark testing whether higher-order theory-of-mind tasks in language models genuinely evaluate nested reasoning rather than shortcuts. Ranked #101Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Uncovers flaws in higher-order Theory of Mind tests and introduces HopToM, a certified benchmark for perspective reasoning. | |
| MCPDisCo: Seesaw-Mitigated Tuning for MCP-Native Agents This paper presents a reinforcement learning framework to train language model agents across tools and servers in the Model Context Protocol ecosystem. Ranked #101New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Proposes a reinforcement learning framework for agents using Model Context Protocol tools and servers. | |
| ProbabilityBench: Model Evaluation and Calibration with Exact Ground-Truth Uncertainty The paper introduces ProbabilityBench to evaluate model uncertainty calibration against analytically computed, ground-truth instance-level probabilities across three text environments. Ranked #101New testPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Focuses on measuring true model uncertainty and calibration reliability in decision-making. | |
| Memory as Weights: Internalizing Long-Term History for Streaming Videos The paper compresses video history into evolving lightweight model weights instead of competing for limited input context length. Ranked #102New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 17 Oct, 06:17 | On-topic Develops a vision-language framework and dataset specifically for long-term streaming video understanding. | |
| 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 #102Surprising resultPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 15:06 | On-topic Introduces a benchmark evaluating LLM competence and algorithmic diversity in code generation. | |
| KhyontekAI at CheckThat! 2026: Multilingual Dense Retrieval and Cross-Encoder Reranking for Scientific Web Claims The authors present a multilingual dense retrieval and reranking framework to link scientific web claims to their source publications. Ranked #102Peer-reviewed0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Proposes dense retrieval and cross-encoder reranking methods for grounding claims. | |
| Connecting the Dots: Enduring Performance Gaps in ASR Systems Between Standard and Minority English Varieties The paper tracks automatic speech recognition performance from 2021 to 2025, finding persistent accuracy disparities between standard American English and minority accents. Ranked #102Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Conducts a longitudinal benchmark evaluation revealing persistent accent disparities and benchmark limitations in ASR systems. | |
| Rubrics from the Task, Verdicts from Evidence: Pointwise Rubric Rewards with Tool-Augmented Judges This paper proposes a rubric-based reward model that derives criteria strictly from instructions and evaluates responses pointwise using tool assistance. Ranked #102Surprising resultPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Improves reward models and evaluation rubrics used for aligning LLM outputs. | |
| Unconstrained CTI-REALM with Open-Weights This paper evaluates open-weight language models against closed frontier models on a cybersecurity detection benchmark using an interactive telemetry environment. Ranked #102Surprising resultPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Evaluates language model agents querying telemetry stores to solve threat intelligence tasks. | |
| ShellElastic: Scalable Elastic Pretraining with Simultaneous Maximal Updates and Hyperparameter Transfer Introduces an elastic transformer pretraining architecture enabling simultaneous hyperparameter transfer and subnetwork execution within a single model. Ranked #102New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Introduces elastic supernet architectures enabling variable-budget sub-networks for efficient inference. | |
| CoTranslator: Reverse to Forward Chain-of-Thought Translator for Reasoning Distillation The paper proposes a method to translate reverse reasoning paths into verified forward chains of thought for distillation. Ranked #103New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:17 | On-topic Presents a method to distill reasoning capabilities into smaller student models. | |
| LEASH: Uncertainty-Aware Weak-to-Strong Escalation and Oversight for Computer-Use Agents The paper proposes a training-free framework that uses uncertainty signals to escalate computer-use tasks from weak models to strong models. Ranked #103New way to see a problemPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Provides runtime uncertainty monitoring and oversight to prevent agent failures in deployment. | |
| HERO: Harnessing Evidence for Test-time Refinement and Prompt Optimization in Program Generation The paper proposes a method combining offline execution-verified prompt updates and test-time refinement to improve program generation in language models. Ranked #103Surprising resultPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 15:06 | On-topic Optimizes prompts and refines code generation for SQL, Cypher, and Python. | |
| Simple Linear Corrections for Compression in Late Interaction The paper proposes a linear score correction method to recover retrieval quality in compressed late-interaction document representations. Ranked #103Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Addresses scoring corrections and compression for late-interaction dense retrieval models. | |
| Label Collapse in Diffusion Language Model In-Context Learning This paper analyzes label collapse failure modes across diffusion and autoregressive language models during in-context learning classification. Ranked #103Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Exposes an undetected failure mode in in-context learning evaluation metrics. | |
| When Does an ASR Error Matter? Task-Role Diagnostics for Tool-Using Voice Agents The paper introduces a diagnostic protocol to evaluate how speech recognition errors affect structured tool calling in voice agents. Ranked #103New testPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Analyzes how speech recognition errors impact tool-calling behavior in voice agents. | |
| Jag: Direct Box Prediction for Efficient Visual Grounding Adapts multimodal models for direct continuous bounding box prediction using a lightweight regression head in a single forward pass. Ranked #103New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Adapts pretrained multimodal vision-language models for direct visual grounding and coordinate localization. | |
| HPCAgent-Bench: A Framework for Sound Benchmarking of Code-Optimizing Agents, Harnesses, and Skills The authors introduce a multi-platform benchmark to measure the performance and tool efficacy of code-optimizing agents on high-performance computing kernels. Ranked #104New testPreprint6/10 suggested | LLMs for code via arxiv · 17 Oct, 06:19 | On-topic Presents a sound benchmark framework for code-optimizing agents across hardware targets. | |
| WorldMemBench: A Comprehensive Benchmark for Memory of Video World Models WorldMemBench introduces an evaluation benchmark assessing static entity retention and dynamic event persistence in video world models over multi-revisit paths. Ranked #104New testPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Evaluates memory and temporal consistency in generative video world models. | |
| Fin_Agent at FinEval 2026: Task-Aware Methods for Multilingual Financial NLP The paper describes a system submission combining rules and language models for multilingual financial named-entity recognition and question answering. Ranked #104Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Implements retrieval-augmented generation using BGE-M3 and Qwen3-32B for financial QA. | |
| Rule vs.Consequence: Dissociable Internal Representations of Moral Reasoning in LLMs This paper uses activation steering and probing to identify distinct internal representations for rule-based versus consequence-based moral reasoning in language models. Ranked #104New way to see a problemPeer-reviewed7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Evaluates LLM moral reasoning using a 2x2 factorial framing and probing framework. | |
| Scaling Inference-Time Compute with Teams of Coding Agents The paper studies compute allocation across multi-agent coding teams to identify Pareto-optimal trade-offs between cost and performance. Ranked #104Surprising resultPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Explores coordinating multi-agent teams and allocating inference-time compute across planning and execution. |
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