News / #reasoning Tag Reasoning 500 articles archived under #reasoning · RSS Sign in to follow arXiv — NLP / Computation & Language research 10d ago Beyond LLM-Based Reasoning: Lightweight GNNs for Agent Failure Attribution arXiv:2608.18575v1 Announce Type: new Abstract: Large language model (LLM)-based multi-agent systems (MAS) often exhibit complex failure modes, which frequently cause agents to produce incorrect outcomes. This motivates the task of Agent Failure Attribution: given a failed… 19 arXiv — NLP / Computation & Language research 10d ago From Storage to Access: Verifiable Activation of Parametric Knowledge in LLMs via Explicit Priming and Implicit Reasoning arXiv:2608.18581v1 Announce Type: new Abstract: Although Large Language Models (LLMs) encode rich factual knowledge in their parameters, reliably recalling and verifying such knowledge remains a key bottleneck in factual question answering. Existing end-to-end methods entangle… 37 arXiv — NLP / Computation & Language research 10d ago SMTrap: Cost-Effective DoS Attacks Against Large Reasoning Models via SMT Conflict Guidance arXiv:2608.18921v1 Announce Type: new Abstract: Existing LRM-DoS methods rely heavily on model feedback to synthesize attack queries, requiring either repeated queries to the target model or training a dedicated attack model. These expensive operations severely weaken attack… 27 arXiv — NLP / Computation & Language research 10d ago Grading the Graders: Verification Autonomy Levels (L0-L5) for LLM Reasoning arXiv:2608.19009v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly paired with verifiers (step checkers, self-consistency filters, tool-based fact checkers, formal proof assistants) that claim to detect the model's errors. Yet the verification… 25 arXiv — NLP / Computation & Language research 10d ago Can a Lightweight Multimodal Model Estimate LLM Reasoning Performance? A Study for Compute-Optimal Document Inference arXiv:2608.18591v1 Announce Type: cross Abstract: Uniformly allocating inference reasoning budgets to LLMs is expensive and prone to over-thinking penalties; especially in document tasks where visual layouts drive complexity. To address this, we introduce BudgetDoc, the first… 35 arXiv — NLP / Computation & Language research 10d ago When Safety Overrides Vision: Exploring Dynamics between Vision Influence and Safety Alignment in Vision-Language Models arXiv:2608.18628v1 Announce Type: cross Abstract: Aligned vision-language models (VLMs) are designed to balance grounded visual reasoning with safe generation behavior. However, we observe a striking phenomenon: under safety-constrained instruction, models frequently abstain… 30 arXiv — NLP / Computation & Language research 10d ago rEDMRec: Distilling Large Language Model Reasoning into an Editable Experience Memory for Recommendation arXiv:2608.18952v1 Announce Type: cross Abstract: Large language models can improve recommendation quality by reasoning explicitly over user history and candidate items - for example, extracting a user's preferences or explaining why one item fits better than another - rather… 23 arXiv — NLP / Computation & Language research 10d ago Adaptive Memory and Reflection Multi-Agent System for Medical Question Answering arXiv:2608.19029v1 Announce Type: cross Abstract: Accurate and responsible medical question answering (QA) is important in healthcare, where complex cases require factual knowledge and nuanced reasoning. Existing medical QA systems, typically based on single-agent architectures… 13 r/LocalLLaMA community 10d ago Qwen3.8-23B-Mini-Me: A Depth-Pruned Qwen3.8-27B (to ~22.7BB) I've been working on a depth pruning approach and decided to try it out on the new Qwen3.8-27B model. I managed to get the model down to about 22.7B params without severe reasoning degradation. No fine-tuning was done, just strategic removal of layers. It's been working well for… 13 NVIDIA Developer Blog official-blog 10d ago Building Federated Multimodal AI Workflows with NVIDIA FLARE Modern vision-language models (VLMs) can support tasks such as visual question answering, captioning, and image-text reasoning. In practice, however, the data... 36 Hacker News — AI on Front Page community 11d ago Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces (2025) Article URL: https://arxiv.org/abs/2504.09762 Comments URL: https://news.ycombinator.com/item?id=49360140 Points: 229 # Comments: 162 26 r/LocalLLaMA community 11d ago Stop Anthropomorphisizing Intermediate Tokens: Qwen3.8 doesn't "overthink" Intermediate tokens, called "thinking" or "reasoning" actually are nothing like it. Humans do step-by-step reasoning leading to the conclusion. LLMs use intermediate traces to augment their prompt . This explains why sometimes the answer is very good but the "reasoning" is… 21 arXiv — Machine Learning research 11d ago Co-RL: Unsupervised Reasoning Emerges from Diverse Cohort in Multi-agent RL arXiv:2608.17253v1 Announce Type: new Abstract: Reinforcement learning (RL) has emerged as a powerful approach for improving reasoning in language and vision-language models, yet its strongest successes still depend heavily on ground-truth supervision (e.g., verifiable reward).… 37 arXiv — Machine Learning research 11d ago Understanding Curriculum Learning in Large Language Models via Cross-Difficulty Optimization Dynamics arXiv:2608.17268v1 Announce Type: new Abstract: Curriculum learning has been widely adopted in the post-training of large language models by organizing training data from easy to hard. However, its effectiveness varies substantially across reasoning tasks, suggesting that no… 8 arXiv — Machine Learning research 11d ago Agentic ESOpt: Fine-Tuning Long-Horizon LLM Agents with Minimal GPU Requirements arXiv:2608.17310v1 Announce Type: new Abstract: Reinforcement Learning (RL) has been promising in single-turn LLM fine-tuning. However, long-horizon agentic reasoning introduces increasingly branching interactions and sparse rewards, exposing several limitations of RL: its… 25 arXiv — Machine Learning research 11d ago GUPO: Gradient Uncertainty-aware Policy Optimization for Post-Training Large Language Models arXiv:2608.17411v1 Announce Type: new Abstract: Group Relative Policy Optimization (GRPO) has become a widely used approach for post-training Large Language Models (LLMs) for reasoning. In GRPO, the group gradients induced by different queries within the same mini-batch are… 31 arXiv — NLP / Computation & Language research 11d ago Efficient RLVR Scheduling via Graph-Structured Online Difficulty Estimation arXiv:2608.17941v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) improves the reasoning capabilities of large language models but relies on costly rollout exploration. Assigning the same exploration budget to samples with different… 23 arXiv — Machine Learning research 11d ago Understanding the Surprising Generalization Properties of Tabular Foundation Models arXiv:2608.17957v1 Announce Type: new Abstract: Tabular Foundation Models (TFMs) increasingly rely on in-context learning, where a model receives labelled examples at inference time and predicts labels for new inputs without updating its weights. Existing TFMs are typically… 20 arXiv — Machine Learning research 11d ago Recirculation arXiv:2608.17981v1 Announce Type: new Abstract: We describe an inference-time architectural enhancement for off-the-shelf foundation models that markedly reduces perplexity and boosts accuracy across generation and reasoning tasks. Our approach incurs essentially no additional… 34 arXiv — NLP / Computation & Language research 11d ago The Price of Thinking: Reasoning Effort as a Model-Specific API Contract arXiv:2608.16956v1 Announce Type: cross Abstract: API buyers purchase a dated contract, not a model name alone: the contract includes the requested and served model, reasoning-effort term or its omission, output rail, service product, prompt, and price schedule. We study the… 16 arXiv — Machine Learning research 11d ago VLCP: Vision Language Control Policy Closed-Loop Code Replanning for Robot Manipulation arXiv:2608.16978v1 Announce Type: cross Abstract: Turning a frontier vision-language model into a robot policy usually means fine-tuning it to emit an action representation it never saw in pretraining, which throws away much of the reasoning that made the model worth reaching… 13 arXiv — NLP / Computation & Language research 11d ago Can LLMs Reason in a Legally Meaningful Manner? A Small-scale Study on European Court of Human Rights Cases arXiv:2608.17168v1 Announce Type: new Abstract: Reasoning has become a standard technique and feature for contemporary LLMs; however, its application and quality in the context of demanding legal-oriented tasks, such as legal case forecasting, remain under explored. We… 6 arXiv — NLP / Computation & Language research 11d ago CoAL-RAG: A Complexity-Aware Legal Retrieval-Augmented Generation Method arXiv:2608.17536v1 Announce Type: new Abstract: Legal consultation questions exhibit multi-level complexity. A single retrieval strategy often leads to over-reasoning for simple questions and poor interpretability for complex ones, making it difficult to meet the requirements… 6 arXiv — NLP / Computation & Language research 11d ago TraceSQL: Traceable Answerability Estimation for Reference-Free Text-to-SQL Verification arXiv:2608.17795v1 Announce Type: new Abstract: Text-to-SQL systems are commonly evaluated using ground-truth SQL queries or reference execution results, but such supervision is unavailable at inference time in real-world deployments. This creates a critical verification… 29 arXiv — NLP / Computation & Language research 11d ago Encoded but Not Actionable: Auditing the Decode-Generate-Steer Gap in Frozen LLMs for Geometric Constraints arXiv:2608.17843v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated strong performance on structured reasoning tasks, but what they encode and whether it informs model behavior remain unclear. We investigate this question through geometric reasoning,… 22 arXiv — NLP / Computation & Language research 11d ago BEAR-Bench: A Bilingual Enterprise and Academic Reasoning Benchmark for Multimodal Models arXiv:2608.17895v1 Announce Type: new Abstract: While Multimodal Large Language Models (MLLMs) have made significant strides in visual comprehension, their ability to reason about text-dense, professional documents remains incompletely evaluated. Existing benchmarks emphasize… 11 arXiv — NLP / Computation & Language research 11d ago Do Large Language Models Play Six Degrees of Separation? Measuring Topological Compression in Long-Context Manifolds arXiv:2608.17950v1 Announce Type: new Abstract: Large Language Models (LLMs) demonstrate remarkable multi-hop reasoning capabilities over long contexts, yet the internal mechanisms enabling these distant cognitive leaps remain poorly understood. Traditional attention-based… 12 arXiv — NLP / Computation & Language research 11d ago The IOL-AI Challenge: An Open Challenge towards Advancing Linguistic Reasoning arXiv:2608.18011v1 Announce Type: new Abstract: Reasoning in LLMs is overwhelmingly studied in domains that provide a model with rules: mathematics and code. Linguistic puzzles invert this: the solver must first discover the system before reasoning within it. We present the… 8 arXiv — NLP / Computation & Language research 11d ago Grounding Healthcare LLMs in a Causal Knowledge Graph: Framework, Metrics, and a Cardiovascular Pilot arXiv:2608.15382v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly proposed for healthcare decision support, but their evaluations still reward single-answer accuracy rather than reasoning about interventions, mechanisms, harms, evidence, and… 16 arXiv — NLP / Computation & Language research 11d ago MCTS-KBQA: Monte Carlo Tree Search with Information Gain Rewards for Knowledge Base Question Answering arXiv:2502.13428v2 Announce Type: replace Abstract: This work investigates how to improve large language model (LLM)-based reasoning for knowledge base question answering (KBQA) via Monte Carlo Tree Search (MCTS). Applying MCTS to LLM-based KBQA remains challenging because… 12 arXiv — NLP / Computation & Language research 11d ago Dripper: Token-Efficient Main HTML Extraction with a Lightweight LM arXiv:2511.23119v3 Announce Type: replace Abstract: High-quality main content extraction from web pages is a critical prerequisite for constructing large-scale training corpora. While traditional heuristic extractors are efficient, they lack the semantic reasoning required to… 21 arXiv — NLP / Computation & Language research 11d ago How Do Large Language Models Learn Concepts During Continual Pre-Training? arXiv:2601.03570v2 Announce Type: replace Abstract: Human beings primarily understand the world through concepts (e.g., dog), abstract mental representations that structure perception, reasoning, and learning. However, how large language models (LLMs) acquire, retain, and forget… 36 arXiv — NLP / Computation & Language research 11d ago The Emergence of Lab-Driven Alignment Signatures: A Psychometric Framework for Auditing Latent Bias and Compounding Risk in Generative AI arXiv:2602.17127v2 Announce Type: replace Abstract: Large language models increasingly serve as reasoning layers in multi-agent systems, where one provider's models may generate, judge, and summarize within a single pipeline. This raises the question of whether developer… 29 arXiv — NLP / Computation & Language research 11d ago Eval4Sim: An Evaluation Framework for Persona Simulation arXiv:2603.02876v2 Announce Type: replace Abstract: Large Language Model personas, explicit profiles specifying a user's attributes, preferences, and behavioural tendencies, are increasingly used to simulate human conversations for user modelling, social reasoning, and… 13 arXiv — NLP / Computation & Language research 11d ago Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs? arXiv:2603.24472v4 Announce Type: replace Abstract: Self-distillation has emerged as an effective post-training paradigm for LLMs, often improving performance while shortening reasoning traces. However, in mathematical reasoning, we find that it can reduce response length while… 16 arXiv — NLP / Computation & Language research 11d ago SOD: Step-wise On-policy Distillation for Small Language Model Agents arXiv:2605.07725v3 Announce Type: replace Abstract: Tool-integrated reasoning (TIR) is difficult to scale to small language models due to instability in long-horizon tool interactions and limited model capacity. While reinforcement learning methods like group relative policy… 14 Hugging Face Daily Papers research 11d ago Embodied-Navigator: Point, Think, Memorize, and Align for Efficient Navigation Abstract TAMP-Nav improves embodied navigation by aligning vision-language models with 2D visual prompting, selective reasoning with compressed memory, and dense policy optimization. Generated by thinkingmachines/Inkling-Small Although Large Vision-Language Models (VLMs) have… 26 LangChain releases dev-tools 11d ago langchain-openai==1.5.2 Changes since langchain-openai==1.5.1 release(openai): 1.5.2 ( #39719 ) fix(openai): preserve reasoning item boundaries ( #39278 ) release(openai): 1.5.2a1 ( #39709 ) feat(openai): extract gateway metadata from response headers when available ( #39706 ) chore(openai): update… 9 r/LocalLLaMA community 11d ago Is Ling 3 tiny underrated for its size? I was checking out benchmarks of this model and apparantly better than Qwen3.5 9b reasoning across the bench on artificial analysis. I have used the 9b model for variety of stuff and it has been amazing, but if this is better then why not switch. I am downloading it rn to test… 6 r/LocalLLaMA community 12d ago AA is the reason for Qwen3.8 27B shipped with xhigh I know why Qwen3.8 27B shipped with xhigh reasoning as default, it's to do its best in benchmarks. Models from top labs often get benchmarked at multiple reasoning levels, but that same treatment doesn't apply to other labs. Open models are lucky to even be benchmarked at all.… 16 arXiv — Machine Learning research 12d ago iFuzz-Meta: An Interpretable Fuzzy Learning Framework Bridging Top-Down and Bottom-Up Knowledge Integration arXiv:2608.14646v1 Announce Type: new Abstract: Interpretable representation learning remains a key challenge in modern neural computation, particularly when models are expected not only to perform but also to explain their reasoning. This paper introduces iFuzz-Meta, an… 35 arXiv — Machine Learning research 12d ago Diagnosing and Mitigating Perception-Decision Misalignment in Omni-LLMs via Modality Subspace Activation arXiv:2608.14655v1 Announce Type: new Abstract: Omni-Large Language Models (Omni-LLMs) power complex multi-modal reasoning in applications like World Action Models and autonomous agents. However, their strong performance often masks a profound Perceptual-Decision Misalignment… 37 arXiv — Machine Learning research 12d ago FinFraudBench: A Heterogeneous Graph Benchmark for Financial Fraud Detection arXiv:2608.15177v1 Announce Type: new Abstract: The increasing complexity of digital financial systems has reshaped financial fraud detection from isolated transaction classification into relational risk reasoning over interconnected financial entities. This shift has motivated… 17 arXiv — Machine Learning research 12d ago Not All Attention Is Equal: A Quantitative Survey of the EEI Trade-off arXiv:2608.15459v1 Announce Type: new Abstract: Attention mechanisms have driven machine learning for a decade, from neural machine translation to language models that do general-purpose reasoning. This survey covers four connected threads: their formulation for… 23 arXiv — NLP / Computation & Language research 12d ago Multi-Modal Generative Fuzzy System: Fuzzy Inference Guided Large Model Interactive Question Answering Framework arXiv:2608.14584v1 Announce Type: new Abstract: In Multimodal Question Answering (MQA), models are required to jointly encode and integrate heterogeneous information from multiple modalities, including text, images, and speech, to perform complex semantic reasoning and decision… 29 arXiv — NLP / Computation & Language research 12d ago Interpretable Cross-Lingual Alignment in Small Language Models: Probing Cultural and Pragmatic Reasoning in Japanese-English Bilingual LLMs arXiv:2608.14896v1 Announce Type: new Abstract: Large language models work well on English and behave in poorly understood ways on languages typologically far from it. Japanese is a clean example, where evaluation still leans on translation quality and JGLUE-style benchmarks,… 21 arXiv — NLP / Computation & Language research 12d ago Handoff-H1: An Orchestrated Vision-Agent System for Material Quantity Takeoff from Construction Blueprints arXiv:2608.15032v1 Announce Type: new Abstract: Converting a set of architectural blueprints into a complete material quantity takeoff requires visual perception across drawing sheets, dimensional and multi-hop reasoning, and grounding in construction conventions that the… 30 arXiv — NLP / Computation & Language research 12d ago Why Vision Fails as a Universal Bridge: Rectifying Modality Asynchrony in Multilingual MLLMs arXiv:2608.15085v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) exhibit substantial performance degradation in non-English visual reasoning, despite the strong multilingual competence of their text-only backbones. While mechanistic evidence from… 38 arXiv — NLP / Computation & Language research 12d ago Do Language Models Consistently Encode the Current Year? arXiv:2608.15507v1 Announce Type: new Abstract: A consistent concept of the current time is important for temporal reasoning, yet how language models represent the current time is not well understood. We contribute two tasks that probe the current year in conceptually distinct… 6 arXiv — NLP / Computation & Language research 12d ago SEER: Long-Context Reasoning via Selective Visual-Text Compression arXiv:2608.15962v1 Announce Type: new Abstract: Long-context reasoning remains computationally expensive for large language models due to the quadratic complexity of attention over text tokens. Visual-text compression offers a promising alternative by rendering text into images… 12 Page 4 of 10 · 500 articles ← Newer Older →
