News / #reasoning Tag Reasoning 500 articles archived under #reasoning · RSS Sign in to follow arXiv — NLP / Computation & Language research 6d ago Evaluation-as-Search: Adaptive Discovery of Grounding Failures in Meeting Assistants arXiv:2608.20392v1 Announce Type: new Abstract: LLM-powered meeting assistants are deployed at scale, yet systematic evaluation of their grounding fidelity remains limited to static benchmarks that miss failure modes tied to specific discourse structures or reasoning demands. We… 14 arXiv — NLP / Computation & Language research 6d ago When Failures Propagate: Causal Failure Attribution in Agentic Retrieval-Augmented Generation arXiv:2608.20627v1 Announce Type: new Abstract: Agentic retrieval-augmented generation (RAG) interleaves retrieval, reasoning, and answer generation across multiple hops. A retrieval error at hop 1 can surface only as a wrong answer at hop 3, while later retrieval can also… 20 arXiv — NLP / Computation & Language research 6d ago STAR-OPD: Structured Aspect-Cascade-Aware On-Policy Reward Distillation for ABSA Quadruple Extraction arXiv:2608.20831v1 Announce Type: new Abstract: Aspect-based sentiment analysis (ABSA) quadruple extraction requires jointly predicting target, aspect, opinion, and sentiment over reviews that often contain multiple fine-grained sentiment tuples. While large chain-of-thought… 34 arXiv — NLP / Computation & Language research 6d ago KREL: Automatic Medical Coding via Knowledge-Guided Reasoning over Clinical Evidence with LLMs arXiv:2608.20887v1 Announce Type: new Abstract: Automatic Medical Coding (AMC), which assigns standardized International Classification of Diseases (ICD) codes to clinical notes, is essential for medical reimbursement, quality reporting, and clinical research. Existing… 20 arXiv — NLP / Computation & Language research 6d ago Memory Augmentation Unlocks Efficient Chain-of-Thought Reasoning arXiv:2608.21265v1 Announce Type: new Abstract: Large language models often rely on Chain-of-Thought (CoT) reasoning to solve complex tasks, but verbose reasoning traces introduce substantial inference overhead. CoT compression shortens generation, yet aggressive compression may… 25 arXiv — NLP / Computation & Language research 6d ago Why2Speak: Faithful Reasoning for Abstaining Action Policies arXiv:2608.20670v1 Announce Type: cross Abstract: Many agentic systems must repeatedly choose between acting and abstaining, making faithful reasoning important for oversight: an explanation is useful only if it reflects the computation that produced the action. We study this… 25 arXiv — NLP / Computation & Language research 6d ago Beyond Gold Standards: Epistemic Ensemble of LLM Judges for Formal Mathematical Reasoning arXiv:2506.10903v2 Announce Type: replace Abstract: Statement autoformalization plays a crucial role in formal mathematical reasoning by enabling the automatic translation of natural language statements into formal languages. While recent advances using large language models… 18 arXiv — NLP / Computation & Language research 6d ago GeoExplain: Multimodal Reasoning based on Hierarchy of Visual Information in Street View arXiv:2506.16633v3 Announce Type: replace Abstract: Multimodal reasoning is a process of understanding, integrating and inferring information across different data modalities. It has recently attracted surging academic attention. Although there are various tasks for evaluating… 24 arXiv — NLP / Computation & Language research 6d ago CulTrace: Tracing Internal Cultural Reasoning in Large Language Models arXiv:2508.08879v4 Announce Type: replace Abstract: The growing deployment of large language models (LLMs) across diverse cultural contexts necessitates a deeper understanding of models' hidden representations of different cultures. Prior work has evaluated cultural awareness in… 33 arXiv — NLP / Computation & Language research 6d ago StruProKGR: A Structural and Probabilistic Framework for Sparse Knowledge Graph Reasoning arXiv:2512.12613v2 Announce Type: replace Abstract: Sparse Knowledge Graphs (KGs) are commonly encountered in real-world applications, where knowledge is often incomplete or limited. Sparse KG reasoning, the task of inferring missing knowledge over sparse KGs, is inherently… 27 Hugging Face Daily Papers research 6d ago AgentMercury: Your Agent Can Synthesize Verifiable Environments for Business Scenarios at scale Abstract AgentMercury synthesizes scalable executable business environments that serve as generalizable reinforcement learning substrates, improving agent performance across enterprise and out-of-domain reasoning tasks while making environment construction itself learnable.… 38 r/LocalLLaMA community 7d ago Qwen 3.5 4B IQ2_XS: +16.67% Reasoning Performance From Tensor-Level Allocation I was finally able to replicate tensor level allocation outside the Gemma family. https://huggingface.co/ByteOtter/Qwen3.5-4B-CADA-IQ2_XS After the Gemma 4 12b, e4b and gemma 3 4b results, I attempted to expand into qwen and ran into a few walls. After 2 version updates and a… 4 r/LocalLLaMA community 8d ago I'm really hoping we're in 2026's 2-month-gap between QwQ and Qwen3 right now QwQ was genuine next-gen performance usable on local hardware, but the massive required context (it's reasoning style was akin to "if I say every possible word, I'll notice the right one!" ) kinda made it unusable for agentic coding. It was ~2 months later that Qwen3-32B came… 20 r/LocalLLaMA community 8d ago Qwen3.8-27B different thinking levels Even the low preset is better than Qwen 3.7 plus or Qwen3.6-27B reasoning   submitted by   /u/Tall_Abrocoma_3533 [link]   [comments] 24 Simon Willison community 8d ago llm-openrouter 0.7 Release: llm-openrouter 0.7 Now that this plugin is compatible with LLM 0.32 it works much better with reasoning LLMs available through OpenRouter. Updated for compatibility with LLM 0.32 . Models now use OpenRouter's implementation of the Responses API . Three new server-side… 24 r/LocalLLaMA community 8d ago Qwen 3.8 vs 3.6 27b low reasoning loops way less now Have seen some people say Qwen 3.8 still overthinks even when reasoning is set to low. Which on my case has been way better compared to 3.6, eveb on a 3 bit quant. I think it's worth mentioning that the default is actually xhigh, so first make sure to specify it if not already.… 36 Hugging Face Daily Papers research 8d ago Thinking in a Low-Resource Language: What SFT Builds, What RL Fixes, What Accuracy Cannot See Abstract Fine-tuning large mixture-of-experts models on a low-resource language shifts reasoning into that language without harming accuracy, while reinforcement learning with verifiable rewards fixes formatting and leakage defects. Generated by thinkingmachines/Inkling-Small… 11 r/MachineLearning community 9d ago I pre-registered 23 experiments (~$207, solo) testing whether a verification harness can substitute for scale at 4B — including a locked holdout that falsified my own headline result [R] **Question:** how much of grounded-reasoning performance is weights, and how much is architecture? I spent a month testing this on the Qwen3-4B class, solo, with pre-registration discipline: every run's success criterion frozen in a runbook before spend, every failed bar… 19 r/LocalLLaMA community 9d ago Ornith-1.5-35B-A3B-NInfer - 250 tok/s, 5-8k prefill, 5090 I tried this model yesterday, and it felt to me like the best one I've tried for a local model for interactive use; the responses and reasoning are very fast, and it actually performs agentic tasks well. The speed is phenomenal. I am running this on Ninfer for Windows -… 37 Hugging Face Daily Papers research 9d ago NARU: A Benchmark for NARrative Evolution and Cultural Nuance Understanding in Japanese Extreme Long Video Abstract NARU is a Japanese long-form video benchmark evaluating narrative evolution and cultural reasoning through a hierarchical annotation pipeline and extensive native-speaker verification. Generated by thinkingmachines/Inkling-Small Long-form video understanding encompasses… 35 arXiv — Machine Learning research 9d ago Answer-Level Trust Selection for Physical Vision-Language Reasoning arXiv:2608.19807v1 Announce Type: new Abstract: Vision-language models (VLMs) can estimate physical quantities such as duration, speed, and acceleration from visual observations, but existing benchmarks primarily assess overall model performance against annotated ground truth.… 4 arXiv — Machine Learning research 9d ago G-MARK: Grounded Multi-Agent Reasoning for Cooperative Driving via Knowledge Graphs arXiv:2608.19964v1 Announce Type: new Abstract: Autonomous driving systems must operate under partial observability, where safety-critical objects may be occluded or visible only to neighboring connected vehicles. Vehicle-to-vehicle cooperation can reduce this uncertainty, but… 24 arXiv — Machine Learning research 9d ago Orthogonal JEPA: Factorized Predictive States for Latent World Models arXiv:2608.20065v1 Announce Type: new Abstract: World models construct latent states that support prediction, planning, and reasoning about an underlying system. Joint-embedding predictive architectures (JEPAs) offer a direct way to learn such states by predicting targets in… 15 arXiv — Machine Learning research 9d ago Beyond Imitation: Filtering On-Policy Distillation by Reasoning Progress arXiv:2608.19408v1 Announce Type: cross Abstract: On-policy distillation (OPD) has emerged as an effective framework for post-training language models by pairing student-generated trajectories with dense token-level supervision from a teacher. However, OPD implicitly assumes… 24 arXiv — NLP / Computation & Language research 9d ago Forking Fast: Efficiently Estimating Uncertainty Dynamics in Text Generation arXiv:2608.19611v1 Announce Type: new Abstract: LLM reasoning is stochastic, and so understanding a model requires grappling with the distribution of reasoning chains that it might produce for a given question, i.e., its uncertainty. Resampling-based analyses characterize this… 13 arXiv — Machine Learning research 9d ago Scaffolding Minds: Optimizing Latent Visual Target Representations for Multimodal Reasoning arXiv:2608.19669v1 Announce Type: cross Abstract: Latent reasoning has advanced multimodal reasoning through a two-stage training paradigm: (1) a helper image is encoded into latent tokens to teach visual chain-of-thought during a supervised fine-tuning (SFT) stage, and (2)… 24 arXiv — NLP / Computation & Language research 9d ago SABET-QA: Temporal Knowledge Graph Question Answering arXiv:2608.20083v1 Announce Type: new Abstract: Question Answering over Temporal Knowledge Graphs (TKGQA) requires reasoning over time-sensitive facts, yet existing embedding-based methods struggle with multi-step queries due to single-pass reasoning pipelines. We propose… 21 arXiv — NLP / Computation & Language research 9d ago Inject, Align, Recover: Staged Post-Training for Retrieval-Free Document Knowledge Internalization arXiv:2608.20281v1 Announce Type: new Abstract: Large language models often fail to answer questions about a bounded document collection when the source documents are not retrieved at inference time. We study this setting as document knowledge internalization: converting a fixed… 21 arXiv — NLP / Computation & Language research 9d ago TempJail: Temporal Jailbreak Attack against Large Vision-Language Models via Subtitle Scheduling arXiv:2608.19737v1 Announce Type: cross Abstract: Large vision-language models (LVLMs) have achieved remarkable progress in video understanding and reasoning. Despite extensive studies on text- and image-based jailbreaks, video jailbreaks against LVLMs remain largely unexplored.… 19 arXiv — NLP / Computation & Language research 9d ago Reward-Guided Autoregressive Graph Generation for Efficient Multi-Agent Communication Topology Design arXiv:2608.20099v1 Announce Type: cross Abstract: LLM-based Multi-Agent Systems (MAS) achieve strong performance on complex reasoning tasks by coordinating multiple agents, but at the cost of substantial token consumption. Recent work on automatic topology design, ARG-Designer,… 22 arXiv — NLP / Computation & Language research 9d ago Multi-Agent Orchestration with the Common-Sense Reasoning Capabilities of LLMs for Autonomous Driving arXiv:2608.20129v1 Announce Type: cross Abstract: Autonomous vehicles require robust perception and decision-making capabilities to operate in diverse and unseen scenarios. While reinforcement learning and rule-based methods can provide effective control and safety mechanisms,… 8 arXiv — NLP / Computation & Language research 9d ago TS-Reasoner: Aligning Time Series Foundation Models with LLM Reasoning arXiv:2510.03519v3 Announce Type: replace Abstract: Time series reasoning is crucial to decision-making in diverse domains, including finance, energy, and scientific discovery. While existing time series foundation models (TSFMs) can capture low-level dynamic patterns and… 22 arXiv — NLP / Computation & Language research 9d ago Doc-V*:Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA arXiv:2604.13731v2 Announce Type: replace Abstract: Multi-page Document Visual Question Answering requires reasoning over semantics, layouts, and visual elements in long, visually dense documents. Existing OCR-free methods face a trade-off between capacity and precision:… 37 Hugging Face Daily Papers research 9d ago MemTrapBench: Benchmarking Cognitive Traps in LLM Memory Use Abstract Retrieved memories can induce reasoning errors and belief distortions in large language models, and an inference-time strategy helps avoid these cognitive traps while maintaining benchmark performance. Generated by thinkingmachines/Inkling-Small Memory has become a key… 12 Hugging Face Daily Papers research 9d ago VA-Judger: Reward Modeling from Human Preference Feedback for Joint Video-Audio Generation Abstract A human-aligned chain-of-thought reward model and preference dataset improve joint video-audio generation by replacing fragmented metrics with coherent, dimension-wise reinforcement learning. Generated by thinkingmachines/Inkling-Small Using reinforcement learning to… 29 r/LocalLLaMA community 9d ago Qwen3.8-27B scored 29/30 on AIME 2026 with FP8 + xhigh reasoning — BF16 vs FP8 results I benchmarked Qwen3.8-27B on MathArena/aime_2026 dataset, comparing BF16 and FP8 weights at medium and xhigh reasoning effort. Interesting findings are: quantized FP8 xhigh is better than BF 16 medium equally good as 16 BF xhigh with better speed. On problem 7, both BF16 xhigh… 28 r/MachineLearning community 9d ago Is KV Cache in a high dimensional vector space? [D] I've been doing some research on this question: At inference time a large part of a model's working memory lives in the KV cache, plus whatever external memory the harness bolts on. I've been poking at the storage-and-retrieval side of this, treating that cache as an index, and… 34 Hugging Face Daily Papers research 9d ago LLMs Get Smarter from Targeted Synthetic Multilingual Data Abstract HOTFIXR is a data generation framework that targets multilingual reasoning weaknesses to improve cross-lingual performance without sacrificing overall capability. Generated by thinkingmachines/Inkling-Small Language-specific competency (LSC) is the phenomenon of a… 28 r/LocalLLaMA community 9d ago Tencent begins testing its new flagship model Hunyuan Hy4 From the screenshots: Hy4 is now live, labeled "Expert-Level Model" + "Use Tools to Solve Problems" Hy3 is tagged with "New Upgrade," positioned as a brand-new general-purpose model DeepSeek, focused on reasoning, is listed alongside it From SuSu_酥酥👅on 𝕏:… 18 Hugging Face Daily Papers research 10d ago Looped Language Models Improve Compositional Tool Calling Abstract Looped language models improve compositional, multi-step tool use through recurrent computation, with adaptive inference balancing accuracy and compute cost. Generated by thinkingmachines/Inkling-Small Looped language models have shown promising results on reasoning… 14 Hugging Face Daily Papers research 10d ago SPADE: Self-Play in Adaptive Synthetic Executable Environments Abstract SPADE is a self-play reinforcement learning framework where a language model designs adaptive executable training environments and learns to solve them, improving reasoning and tool-use performance through regret-based environment targeting. Generated by… 7 Hugging Face Daily Papers research 10d ago Co-RL: Unsupervised Reasoning Emerges from Diverse Cohort in Multi-agent RL Abstract Co-RL enables unsupervised reasoning via cooperative multi-agent reinforcement learning with peer-derived rewards, improving performance across text and vision tasks without ground-truth labels. Generated by thinkingmachines/Inkling-Small Reinforcement learning (RL) has… 36 arXiv — NLP / Computation & Language research 10d ago Think Shallow, Solve Deep: Controlling Recurrent Dynamics for Reliable Test-Time Depth arXiv:2608.18222v1 Announce Type: cross Abstract: Recurrent-depth reasoners aim to solve harder problems by iterating their update longer at test time, but additional iterations can improve, preserve, or degrade an answer. We show that a measurable property of the trained… 28 arXiv — Machine Learning research 10d ago Allocating Recurrent Compute in Looped Language Models arXiv:2608.18230v1 Announce Type: new Abstract: Looped language models improve reasoning and knowledge manipulation by applying shared computation repeatedly. Existing systems usually repeat an entire layer stack, although a mixer and a dense feed-forward network (FFN) perform… 12 arXiv — Machine Learning research 10d ago ClosureBench: A Constructive Benchmark for Compositional Graph Reasoning arXiv:2608.18242v1 Announce Type: new Abstract: We introduce ClosureBench, a constructive benchmark for compositional graph-relational reasoning with programmatically verified ground truth. Unlike fixed-test-set benchmarks vulnerable to data contamination, ClosureBench generates… 13 arXiv — Machine Learning research 10d ago Mechanistic Interpretability of Structure-Aware Numerical Reasoning in LLaMA 3.1 8B arXiv:2608.18419v1 Announce Type: new Abstract: Recent work has shown that large language models (LLMs) exhibit strong numerical sequence modeling capabilities and show promise in time-series prediction. While LLMs display in-context learning capabilities, the mechanisms with… 8 arXiv — Machine Learning research 10d ago Continual Reasoning Gym: Diagnosing and Harnessing Shared Reasoning in Continual RLVR arXiv:2608.18574v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) commonly post-trains reasoning models on multiple tasks, while rerunning multitask RLVR (MTRL) as new tasks are added makes capability expansion costly. We therefore study… 21 arXiv — Machine Learning research 10d ago Off-Manifold Collapse in Guided Protein Language Models arXiv:2608.18597v1 Announce Type: new Abstract: Protein language models are widely used priors for protein sequence design, and a growing body of work controls them at inference time as an alternative to fine-tuning. Such guidance faces a dilemma: mild enough to preserve natural… 20 arXiv — NLP / Computation & Language research 10d ago Beyond Teacher Likelihood: Group-Calibrated On-Policy Distillation for Long-Context Reasoning arXiv:2608.19181v1 Announce Type: cross Abstract: On-policy distillation (OPD) trains a student on its own responses using dense token-level guidance from a stronger teacher. In long-context tasks, however, token-level teacher support can favor locally plausible responses that… 36 arXiv — NLP / Computation & Language research 10d ago Different Facets of Verbalised Overconfidence: an Interpretability Study arXiv:2608.18106v1 Announce Type: new Abstract: Large language models tend to overconfidence, giving assertive answers when the evidence suggests hedging or abstention. Using controlled reasoning scenarios that manipulate logical necessity and possibility, we study this behavior… 9 Page 3 of 10 · 500 articles ← Newer Older →
