News / #reasoning Tag Reasoning 500 articles archived under #reasoning · RSS Sign in to follow arXiv — NLP / Computation & Language research 6d ago On-Policy Distillation Teaches New Skills but Not New Knowledge arXiv:2610.09639v1 Announce Type: new Abstract: On-policy distillation (OPD) strengthens language-model reasoning, yet whether students acquire new factual knowledge or compositional skill for multi-step reasoning remains unknown. We separate these capabilities using a… 38 arXiv — NLP / Computation & Language research 6d ago InsClaimBench: Benchmarking Insurance Claim Adjudication Across the Decision Chain arXiv:2610.09671v1 Announce Type: new Abstract: Recent advances in reasoning-oriented large language models (LLMs) have motivated increasing evaluation of their ability to perform professional decision tasks. Insurance claim adjudication is one such task, requiring models to… 14 arXiv — NLP / Computation & Language research 6d ago From Pareto to Preference: Personalized Test-Time Scaling via Amortized Agentic Policy Discovery arXiv:2610.09684v1 Announce Type: new Abstract: Test-time scaling (TTS) improves the reasoning capabilities of large language models by allocating additional inference computation. Existing approaches to improving TTS efficiency largely optimize accuracy against one resource… 29 arXiv — NLP / Computation & Language research 6d ago Bridge Routing Heads: Where Multilingual Multi-hop Reasoning Lives in LLMs arXiv:2610.09733v1 Announce Type: new Abstract: Multilingual LLMs answer the same multi-hop reasoning question across languages, but we lack a mechanistic account of whether they share an internal circuit. We identify Bridge Routing Heads (BRH) in two large multilingual LLMs… 28 arXiv — NLP / Computation & Language research 6d ago Judging in Latent Space: Efficient Generative Reward Modeling via Semantics-Preserving Compression arXiv:2610.09788v1 Announce Type: new Abstract: Reward modeling often requires jointly representing and reasoning over multiple evaluation criteria, yet verbalizing this process token by token can incur substantial inference cost. Recent work on latent reasoning suggests that… 24 arXiv — NLP / Computation & Language research 6d ago Training Advisors for LLM Agents from Task Outcomes arXiv:2610.09858v1 Announce Type: new Abstract: Large language model agents tackle multi-step tasks by interleaving reasoning and tool calls with observations from the environment. Prior work has shown that natural-language feedback can help these agents revise their decisions… 30 arXiv — NLP / Computation & Language research 6d ago The Long Road to the Same Answer: Cognitive Bias Under Escalating Reasoning Budgets in Large Language Models arXiv:2610.10049v1 Announce Type: new Abstract: Reasoning models allocate extra computation at inference time and present their answers as the product of deliberate thought. If this deliberation works the way dual-process accounts of human cognition suggest, longer thinking… 30 arXiv — NLP / Computation & Language research 6d ago ExperienceIndex: Artifact-Grounded Memory arXiv:2610.10091v1 Announce Type: new Abstract: Knowledge-intensive tasks require answering many questions by reasoning about a shared corpus of artifacts (e.g., court cases, or scientific literature). As humans interact with these corpora, they naturally accumulate experiential… 38 arXiv — NLP / Computation & Language research 6d ago PHRBench: A Behavioral Evaluation of Post-Hallucination Reasoning in LLMs arXiv:2610.10455v1 Announce Type: new Abstract: Hallucinated information can propagate through multi-stage LLM systems and become part of the context for subsequent reasoning. Existing studies of post-hallucination reasoning (PHR) mainly characterize changes in final outcomes… 19 arXiv — NLP / Computation & Language research 6d ago Route-Verify-Vote: Procedure-Conditioned Self-Consistency for Mixed-Domain Reasoning arXiv:2610.08814v1 Announce Type: cross Abstract: Compositional generalization remains challenging when language models must combine familiar reasoning operations in unfamiliar ways. The Scenario-Based Commonsense Reasoning Evaluation (SCoRE) 2026 tests this ability on three… 9 arXiv — NLP / Computation & Language research 6d ago TopoGraphRAG-Bench: Evaluating Multimodal GraphRAG on Layout-Grounded Evidence Reasoning arXiv:2610.09360v1 Announce Type: cross Abstract: Real-world documents distribute evidence across text, tables, figures, and captions within complex page layouts. Answering complex questions over such documents therefore requires more than retrieving relevant passages: systems… 33 arXiv — NLP / Computation & Language research 6d ago Boundary-Free Contextual Biasing: Depth-Adaptive Gating and Reading-Space Matching for Unsegmented Languages arXiv:2610.09467v1 Announce Type: cross Abstract: Contextual biasing supplies an ASR system with a list of expected words at inference time, but existing methods rely on word boundaries that Japanese and Chinese do not provide. We present a boundary-free biasing decoder for… 38 arXiv — NLP / Computation & Language research 6d ago Certified by Abstention: Distribution-Free Guarantees for Chain-of-Thought Verifiers at Small Calibration Budgets arXiv:2610.09541v1 Announce Type: cross Abstract: Signals that predict whether a chain-of-thought (CoT) trace is correct are compared by AUC, but deploying one requires a threshold with a guarantee. We ask what distribution-free selective guarantees deliver for CoT verifiers at… 23 LangChain releases dev-tools 7d ago langchain-fireworks==1.7.1 Changes since langchain-fireworks==1.7.0 release(fireworks): 1.7.1 ( #41137 ) fix(fireworks): preserve reasoning in streaming and tool loops ( #41093 ) chore(deps): bump langgraph-sdk from 0.4.4 to 0.4.6 in /libs/partners/fireworks ( #41100 ) chore(deps): bump langgraph-sdk from… 38 arXiv — NLP / Computation & Language research 7d ago When Does External Guidance Help LLM Reasoning? A Bias-Variance Theory of Guidance-Augmented GRPO arXiv:2610.06861v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) has become the dominant paradigm for eliciting multi-step reasoning in large language models, and a recent wave of methods (LUFFY, ExPO, PAPO, TAPO) further augments RL with… 4 arXiv — NLP / Computation & Language research 7d ago Learning to Simulate Individuals from Macro Social Signals arXiv:2610.07062v1 Announce Type: cross Abstract: Large language models are increasingly used to simulate how individuals respond to new situations, yet the behavioral reasoning behind these responses is either inherited from pretraining or learned from individual-level… 25 arXiv — Machine Learning research 7d ago Learning What to Distill: Bilevel Top-K Token Selection for Self-Distillation in Large Language Models arXiv:2610.07247v1 Announce Type: new Abstract: Large language models have shown strong reasoning capabilities, but their high inference costs make knowledge distillation an important approach for transferring such capabilities to compact models in resource-constrained… 15 arXiv — Machine Learning research 7d ago Neural Algorithmic Reasoning for Graph Saddle Point Problems arXiv:2610.07255v1 Announce Type: new Abstract: Neural algorithmic reasoning, or aligning a neural network with an algorithmic paradigm, has emerged as an approach to solving polynomial-time-solvable and computationally harder combinatorial optimization problems. We propose a… 28 arXiv — NLP / Computation & Language research 7d ago OMIT the Action: Measuring Framing-Invariant Omission Bias under Philosophical Disagreement arXiv:2610.07847v1 Announce Type: new Abstract: As LLMs increasingly assist in moral reasoning, omission bias, the tendency to prefer inaction even when equivalent framings reverse substantive outcomes, poses a significant risk of skewed decision-making. Yet omission bias… 26 arXiv — NLP / Computation & Language research 7d ago Foresight-over-Graph: Reasoning Beyond Local Horizons for Knowledge Base Question Answering arXiv:2610.08388v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated strong capabilities in question answering, yet they still frequently suffer from hallucinations on knowledge-intensive tasks. Knowledge graphs (KGs) provide LLMs with structured,… 27 arXiv — NLP / Computation & Language research 7d ago Agentic AutoRAG: RAG Pipeline Optimization through Reasoning-Driven Agents arXiv:2610.08452v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) is a widely used approach for grounding large language models (LLMs) in external knowledge. However, configuring a pipeline is an expensive hyperparameter optimization problem over many… 21 arXiv — NLP / Computation & Language research 7d ago Incidental information contaminates patient notes and disrupts clinical reasoning in large language models arXiv:2610.08585v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly relied upon to support ambient documentation and clinical reasoning. Here we examine the impact of a failure mode shared between these two applications by assessing their sensitivity to… 28 arXiv — NLP / Computation & Language research 7d ago Evidence-Bound Reasoning: Neuro-Semantic Verification of Biomedical AI in Glioblastoma Radiogenomics arXiv:2610.08660v1 Announce Type: new Abstract: Background: Biomedical AI can generate plausible explanations without reliably verifying whether each statement is supported by patient-specific evidence. We developed a neuro-semantic verification framework that converts radiomic… 14 Vercel — AI dev-tools 7d ago Glyph Cluster is now available in stealth for free on AI Gateway Glyph Cluster is now available on AI Gateway as a stealth model for teams on Pro and Enterprise plans with purchased AI Gateway credits. It is free to use during the stealth period. Glyph Cluster is a reasoning model for coding and long-context analysis, and handles multi-step… 23 Simon Willison community 8d ago llm-mistral 0.16 Release: llm-mistral 0.16 Adds support for reasoning models, such as the newly released Mistral Large 4 . Tags: llm , mistral , llm-reasoning 14 Vercel — AI dev-tools 8d ago Mistral Large 4 now available on AI Gateway Mistral Large 4 is now available on AI Gateway. The open-weight, natively multimodal model combines reasoning with text and image understanding. It is useful for cyber defense, manufacturing, and finance workflows. You can access the model through AI Gateway with one API key,… 8 TechCrunch — AI news-outlet 9d ago Reflection debuts Beam, an open-weight AI model to rival Chinese models at lower compute cost Nvidia-backed Reflection AI unveils Beam, its first open-weight model, which it says rivals GLM-5.2 on reasoning with far less inference compute. Weights are due this month. 27 arXiv — Machine Learning research 9d ago Counterfactual Predictions in Scientific Emulators Without Controlled Experiments arXiv:2610.02252v1 Announce Type: new Abstract: Many scientific questions require reasoning about what was never observed: What if the conditions, interventions, or history had been different? Models can predict accurately on observed data yet fail on such what-if queries when… 33 arXiv — NLP / Computation & Language research 9d ago Lexicographic Multi-Objective On-Policy Distillation arXiv:2610.02359v1 Announce Type: cross Abstract: Reinforcement learning from verifiable rewards (RLVR) usually optimizes answer correctness, yet useful language-model behavior also requires high-quality reasoning and concise responses. Existing multi-reward post-training… 25 arXiv — NLP / Computation & Language research 9d ago Hesitation Has a Geometry: Entropy-Trained Hyperbolic Probes for Sparse Activation Steering arXiv:2610.02391v1 Announce Type: cross Abstract: When a large language model solves a mathematical problem, its reasoning is largely hierarchical, and the solution often branches at a few tokens where the next-token entropy is high. Such tree-like structure embeds in hyperbolic… 7 arXiv — NLP / Computation & Language research 9d ago Are you Synthesizing or Recalling? Evaluating LLMs on Algorithmic Code Retrieval arXiv:2610.02438v1 Announce Type: cross Abstract: Large language models (LLMs) have demonstrated strong performance in code generation, where success depends on both recalling relevant algorithmic knowledge and reasoning about how to apply it. However, existing LLM pipelines are… 17 arXiv — Machine Learning research 9d ago Online Verification of Language Model Responses Under Cost Constraints arXiv:2610.02632v1 Announce Type: new Abstract: As large language models are increasingly deployed for multi-step reasoning, verifying the correctness of their outputs has become essential for maintaining reliability at scale. Verifying the correctness of large language model… 28 arXiv — Machine Learning research 9d ago Test-time Calibration Learning for Large Language Model Reasoning arXiv:2610.02695v1 Announce Type: new Abstract: Reliable large language models (LLMs) must not only produce accurate answers but also express confidence that faithfully reflects their probability of being correct. Such calibration is essential for identifying uncertain… 17 arXiv — NLP / Computation & Language research 9d ago Evaluating Multi-Dimensional Generalization of Large Language Models in Temporal Extraction Tasks arXiv:2610.02549v1 Announce Type: new Abstract: Time and event expression extraction are fundamental temporal reasoning tasks, but the problem remains difficult due to annotation ambiguity, domain sensitivity, and unstable model behavior. Existing evaluations focus on in-domain… 29 arXiv — NLP / Computation & Language research 9d ago Large Language Continuous Diffusion Models arXiv:2610.02665v1 Announce Type: new Abstract: Despite the success of discrete diffusion language models (dLMs) for fast parallel decoding, their non-smooth, high-dimensional space hinders trajectory steering for reasoning and inference acceleration. To overcome this, we… 29 arXiv — NLP / Computation & Language research 9d ago EpiWorld: Grounding LLM Policy Agents in Epidemiological World Models arXiv:2610.02744v1 Announce Type: new Abstract: Epidemic intervention policies are textual artefacts that human decision-makers interpret, justify, and revise through natural language, making large language models a natural candidate for epidemic policy reasoning. A naive LLM,… 13 arXiv — NLP / Computation & Language research 9d ago Text-Centric Post-Training for Omni-Modal Reasoning arXiv:2610.02819v1 Announce Type: new Abstract: Improving joint audio-visual reasoning in Omni Large Language Models typically incurs substantial data construction and training costs. Our diagnostics reveal multi-hop reasoning difficulties despite correct answers to all… 26 arXiv — NLP / Computation & Language research 9d ago HyperThink: Text-to-Parameter Hypernetworks for Efficient Reasoning arXiv:2610.03039v1 Announce Type: new Abstract: Long-form thinking traces can substantially improve the multi-step reasoning performance of large language models (LLMs), but they introduce high inference-time overhead, with latency dominated by sequential decoding. We propose… 25 arXiv — NLP / Computation & Language research 9d ago Ask, Relax, or Act? Evaluating Actionable Indeterminacy in LLM Preference Reasoning arXiv:2610.03102v1 Announce Type: new Abstract: An LLM agent can recognize uncertainty yet still choose the wrong next step: asking when action is already justified, or seeking clarification when the constraints must change. We formalize actionable indeterminacy: act when an… 16 arXiv — NLP / Computation & Language research 9d ago Investigating the Role of Reasoning-Language Alignment in Monolingual Retrieval-Augmented Generation arXiv:2610.03136v1 Announce Type: new Abstract: Reasoning traces improve large language models (LLMs), but current models are trained to reason mostly in English. It has been shown that forcing a model to reason in another language degrades accuracy, even when the reasoning… 28 arXiv — NLP / Computation & Language research 9d ago Hindsight-Guided Rationale Distillation for Rare Disease Diagnosis arXiv:2610.03176v1 Announce Type: new Abstract: We study hindsight-guided distillation for rare disease diagnosis on ZebraMap: a 1.5B student is fine-tuned on chain-of-thought traces from a 8B teacher that observes the ground-truth diagnosis during generation. Absolute accuracy… 26 arXiv — NLP / Computation & Language research 9d ago SyntaxBench: A Statistical Diagnostic Framework for Character-Level Reasoning in Large Language Models arXiv:2610.03329v1 Announce Type: new Abstract: Large language models are increasingly used where small syntactic errors matter, yet character-level reasoning is still evaluated mostly through isolated probes and aggregate accuracy. We introduce SyntaxBench, a diagnostic… 8 arXiv — NLP / Computation & Language research 9d ago CLIMB: Confidence-Guided Complementary Evidence for Multimodal Retrieval-Augmented Generation arXiv:2610.03421v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have shown strong visual reasoning abilities, but knowledge-intensive visual question answering often requires external textual evidence beyond the image and the model's parametric… 17 arXiv — NLP / Computation & Language research 9d ago Learning from Repaired Reasoning: Root-Cause-Guided On-Policy Distillation arXiv:2610.03515v1 Announce Type: new Abstract: On-policy self-distillation (OPSD) uses reference solutions as privileged hindsight to supervise student-generated reasoning trajectories. However, reference-based guidance may explain a correct solution without addressing why the… 29 arXiv — NLP / Computation & Language research 9d ago Writerslogic at PAN 2026: Process over Content for Robust Detection under Domain Shift arXiv:2610.03565v1 Announce Type: new Abstract: We describe the Writerslogic systems for three PAN at CLEF 2026 shared tasks (Reasoning Trajectory Detection, Voight-Kampff Generative AI Detection, and Multi-Author Writing Style Analysis), unified by a shared analytical… 15 arXiv — NLP / Computation & Language research 9d ago Large language models exhibit unreliable updating of clinical judgment as patient evidence evolves arXiv:2610.02684v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly explored for clinical reasoning, but whether they appropriately revise judgments as patient evidence evolves remains unclear. We evaluated longitudinal belief updating using matched… 31 arXiv — NLP / Computation & Language research 9d ago Sentry: Learning to Recover from LLM Agent Failures at Test Time arXiv:2610.02994v1 Announce Type: cross Abstract: LLM agents often fail mid-task due to invalid tool calls, repeated actions, or poorly grounded reasoning, and learning from these failures is a path to reliability. We find that how failure knowledge reaches the agent matters as… 7 r/MachineLearning community 10d ago Jev: Not Frontier, But Still Worth Your Attention [R] "TypeSafe AI sells Jev as a frontier-class reasoner that cannot hallucinate, built by the co-inventor of ChatGPT - fast, and almost free. We ran it live on 16,379 benchmark requests, measured its latency and billing, and probed what it is underneath. The result is a smaller,… 15 arXiv — Machine Learning research 11d ago Coupling Perception and Reasoning in Federated Multimodal Graph Foundation Models arXiv:2610.00277v1 Announce Type: new Abstract: Federated multimodal graph foundation models (GFMs) aim to adapt pretrained multimodal models to decentralized graph data, where each client owns a private multimodal graph and cannot share raw information. These models typically… 20 arXiv — Machine Learning research 11d ago The Weakest Link: Distilling LLM Reasoning with Worst-Case Constrained Reinforcement Learning arXiv:2610.00332v1 Announce Type: new Abstract: Distilling the reasoning capabilities of large language models (LLMs) into smaller students is a central challenge for efficient deployment. Current approaches face a fundamental tension: optimizing purely for verifiable task… 23 Page 2 of 10 · 500 articles ← Newer Older →
