News / #reasoning Tag Reasoning 500 articles archived under #reasoning · RSS Sign in to follow Vercel — AI dev-tools 15d ago Inkling Small from Thinking Machines is now available on AI Gateway Inkling Small from Thinking Machines is now available on AI Gateway. Inkling Small reaches performance comparable to the larger Inkling model at about a quarter of the size, using much less compute per task. It is a broad generalist with native reasoning over audio and images,… 30 Hugging Face Daily Papers research 15d ago Uncovering Latent Reasoning Strategies in Language Models Abstract A language model p_θ(y mid x) trained on reasoning tasks learns to solve problems via multiple distinct strategies, yet these strategies are implicit and entangled within the model's response distribution. We study the problem of decomposing the response distribution of… 36 OpenAI official-blog 16d ago How enabling two settings tripled our scores on the ARC-AGI-3 benchmark How two API settings improved GPT-5.6 performance on ARC-AGI-3, boosting scores and efficiency by retaining reasoning and enabling compaction. 6 Hugging Face Daily Papers research 16d ago Pass the Baton: Trajectory-Relayed On-Policy Distillation Abstract On-policy distillation (OPD) grounds token-level supervision in the student's own trajectory, yet suffers from prefix failure: once the student commits to a wrong reasoning direction, all subsequent generation builds on this deviation, producing misdirected… 29 Hugging Face Daily Papers research 16d ago Novel Claim or Déjà Vu? Rethinking "Contamination-Free'' Dynamic Evaluation for Multimodal Automated Fact-Checking Abstract Multimodal automated fact-checking (MAFC) verifies claims by retrieving and reasoning over external evidence. However, most existing static benchmarks risk contamination: they primarily consist of outdated claims verifiable using an LLM's internal knowledge without… 28 arXiv — NLP / Computation & Language research 16d ago Neuromorphic Diffusion Language Models: Addressing Compute and Memory Bottlenecks via Sparsity and Block Denoising arXiv:2607.24841v1 Announce Type: new Abstract: Autoregressive (AR) large language models (LLMs) are inherently inefficient at inference time because each generated token requires accessing the full set of model parameters, leading to low operational intensity and high energy… 13 arXiv — NLP / Computation & Language research 16d ago DS@GT ARC at CheckThat! 2026: LLM-Based Trace Ranking and Grouped Reward Modeling for Multilingual Numerical Claim Verification arXiv:2607.25069v1 Announce Type: new Abstract: Automated verification of numerical claims is a challenging problem, as it requires both language understanding and quantitative reasoning. This paper describes our system for CLEF 2026 CheckThat! Task 2, which focuses on ranking… 17 arXiv — NLP / Computation & Language research 16d ago TabRank: Chain-of-Thought Distillation for Table Re-Rankers arXiv:2607.25182v1 Announce Type: new Abstract: The ability to retrieve relevant tables for answering questions is a key task for structured information retrieval. Multi-stage retrieval systems rely heavily on rerankers to refine candidate lists produced by efficient first-stage… 22 arXiv — NLP / Computation & Language research 16d ago Where Steering Signals Come From: Activation Source Selection in Activation Steering arXiv:2607.25270v1 Announce Type: new Abstract: Activation steering controls language models by adding vectors or features to hidden states at inference time, but the upstream source of these steering signals is often treated as a secondary detail. We study this source choice as… 25 arXiv — NLP / Computation & Language research 16d ago Evaluating Multi-Turn Multimodal Diagnostic Reasoning on Challenging Real-World Clinical Cases arXiv:2607.25933v1 Announce Type: new Abstract: Clinical diagnostic evaluation should not only assess whether models can provide correct diagnoses, but also reflect the realities of clinical practice, including progressive disclosure of multimodal information, dynamic updating… 32 arXiv — NLP / Computation & Language research 16d ago Pass the Baton: Trajectory-Relayed On-Policy Distillation arXiv:2607.26057v1 Announce Type: new Abstract: On-policy distillation (OPD) grounds token-level supervision in the student's own trajectory, yet suffers from prefix failure: once the student commits to a wrong reasoning direction, all subsequent generation builds on this… 38 arXiv — NLP / Computation & Language research 16d ago Multi-Objective Structured Pruning of LLMs for Latency and Model Size Optimization arXiv:2607.22583v1 Announce Type: cross Abstract: Large Language Models (LLMs) have achieved widespread adoption because of their strong reasoning and query-response capabilities. However, deploying them in embedded and edge computing environments remains challenging because of… 10 arXiv — NLP / Computation & Language research 16d ago Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model arXiv:2607.24904v1 Announce Type: cross Abstract: Standard vision-language models (VLMs) suffer from Moravec's paradox: they excel at complex offline visual reasoning but struggle with simple streaming perception tasks and process them inefficiently. We present Mage-VL, an… 6 arXiv — NLP / Computation & Language research 16d ago Addressable Recall Compaction for Long Context-Window Control in AI Agents arXiv:2607.25066v1 Announce Type: cross Abstract: Long-horizon LLM agents accumulate reasoning traces, actions, and tool observations that can eventually exceed a model's fixed context window. Existing compaction methods address this limitation by discarding, summarizing, or… 30 arXiv — NLP / Computation & Language research 16d ago Beyond Self-Knowledge: Propagating Uncertainty Across Reasoning and Retrieval in LLMs arXiv:2607.25600v1 Announce Type: cross Abstract: Retrieval-augmented generation improves knowledge-intensive question answering, but indiscriminate retrieval can introduce irrelevant evidence and unnecessary computation. We investigate whether verbalized confidence from… 14 arXiv — NLP / Computation & Language research 16d ago Minimizing Targeted Activations: Input-Only Suppression of Evaluation-Awareness Latents in Large Language Models arXiv:2607.25907v1 Announce Type: cross Abstract: Activation steering controls model behavior by editing internal activations at inference time. We study its input-side dual: optimizing a fluent prompt so that a chosen internal latent is driven toward zero, with no… 22 arXiv — NLP / Computation & Language research 16d ago A Cost-Effective Multimodal LLM Reasoning Framework for Question Answering over Irregular Clinical Time Series arXiv:2607.25947v1 Announce Type: cross Abstract: Question answering (QA) over irregular clinical time series (ICTS) plays a pivotal role in a wide range of healthcare applications. Although recent multimodal time-series large language models (LLMs) have shown considerable… 26 arXiv — NLP / Computation & Language research 16d ago Towards Understanding the Cognitive Habits of Large Reasoning Models arXiv:2506.21571v3 Announce Type: replace Abstract: Large Reasoning Models (LRMs), which autonomously produce a reasoning Chain of Thought (CoT) before producing final responses, offer a promising approach to interpreting and monitoring model behaviors. Inspired by the… 25 arXiv — NLP / Computation & Language research 16d ago Med-R$^3$: Enhancing Medical Retrieval-Augmented Reasoning of LLMs via Progressive Reinforcement Learning arXiv:2507.23541v5 Announce Type: replace Abstract: In medical scenarios, effectively retrieving external knowledge and leveraging it for rigorous logical reasoning is of significant importance. Despite their potential, existing work has predominantly focused on enhancing either… 32 arXiv — NLP / Computation & Language research 16d ago VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation arXiv:2510.09733v2 Announce Type: replace Abstract: Visual Retrieval-Augmented Generation (VRAG) has emerged as a promising paradigm for equipping Vision-Language Models (VLMs) with external visual evidence, enabling them to go beyond parametric knowledge when answering visually… 36 arXiv — NLP / Computation & Language research 16d ago Beyond Factual Accuracy: Evaluating Global Reasoning Integrity in RAG Systems with LogicScore arXiv:2601.15050v5 Announce Type: replace Abstract: Current evaluation methods for Retrieval Augmented Generation (RAG) suffer from \textit{factual myopia}: they relentlessly emphasize factual accuracy yet neglect global logical integrity in long-form answer generation. This… 28 Hugging Face Daily Papers research 16d ago Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model Abstract Standard vision-language models (VLMs) suffer from Moravec's paradox: they excel at complex offline visual reasoning but struggle with simple streaming perception tasks and process them inefficiently. We present Mage-VL, an efficient codec-native streaming foundation… 14 Vercel — AI dev-tools 16d ago Grok Voice Think Fast 2.0 now available on AI Gateway Grok Voice Think Fast 2.0 from xAI is now available on AI Gateway. It is a speech-to-speech voice model that takes audio in and audio out, improving on the previous Grok Voice model in reasoning, transcription accuracy, and conversation. The model reasons in parallel with… 38 r/LocalLLaMA community 16d ago microsoft/Mage-VL · Hugging Face - An Efficient Codec-Native Streaming Multimodal Foundation Model Mage-VL is a codec-native, proactive-streaming multimodal foundation model for image and video understanding, whose visual encoder is trained entirely from scratch at a compact 4B scale. It targets a modern Moravec's paradox of VLMs — strong at complex offline reasoning, yet… 12 Hugging Face Daily Papers research 17d ago TRACE: Business Rule-Grounded Reasoning Curriculum for Knowledge-Preserving Parametric Tool Retrieval in Enterprise LLMs Abstract Parametric retrieval enables LLMs to retrieve tools implicitly by assigning each API a unique virtual token and training the model to generate it via constrained beam search. Toolsense shows that this regime has two critical drawbacks: it destroys parametric tool… 32 Hugging Face Daily Papers research 17d ago Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Abstract Large reasoning models (LRMs) generate long reasoning traces before producing final answers. While these traces may contain useful signals for hallucination detection, harnessing them is non-trivial because long trajectories often include noisy steps that obscure the… 24 r/LocalLLaMA community 17d ago Medical model: Reasoning-Medical-27B (Qwen3.6-27B finetune) From the description: "Reasoning-Medical-27B is designed for universal advanced medical reasoning in professional medicine, medical genetics, college biology/medicine, and clinical knowledge. The model was fine-tuned on a large-scale dataset of 370,000 high-quality… 38 arXiv — Machine Learning research 17d ago CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents arXiv:2607.22711v1 Announce Type: new Abstract: LLM coding agents operate by constructing trajectories that accumulate reasoning, tool calls, and results to enable multi-step decision-making. However, the conventional append-only trajectory architecture found in practice tightly… 7 arXiv — Machine Learning research 17d ago Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs arXiv:2607.22786v1 Announce Type: new Abstract: In this work, we explore how the inference time of a Transformer Neural Network can be efficiently optimized with applications to real-time anomaly detection in financial time series. The financial time series are price series such… 38 arXiv — Machine Learning research 17d ago Beyond Directed Acyclic Graphs: Causal Zeros and Causal Differential Equations arXiv:2607.22910v1 Announce Type: new Abstract: Pearl's structural causal model (SCM) framework, built on directed acyclic graphs (DAGs) and the do-calculus, is the dominant formal language for causal reasoning. Yet it carries two structural restrictions: every relationship must… 31 arXiv — Machine Learning research 17d ago On the Impossibility of Unbiased and Length-Invariant Policy Optimization with Outcome Rewards arXiv:2607.23364v1 Announce Type: new Abstract: Group Relative Policy Optimization (GRPO) is the dominant reinforcement learning algorithm for training reasoning capabilities in large language models, notably adopted by DeepSeek-R1. The recent improvement Dr. GRPO (COLM 2025)… 24 arXiv — NLP / Computation & Language research 17d ago Learning When to Reason for Text-to-SQL via SFT and DPO arXiv:2607.22622v1 Announce Type: new Abstract: Recent Text-to-SQL methods rely heavily on reasoning-centric paradigms such as Chain-of-Thought (CoT), achieving substantial gains on complex benchmarks at the cost of high inference-time overhead. However, a large fraction of… 36 arXiv — NLP / Computation & Language research 17d ago PatiGonit22K: A Comprehensive Dataset for Solving Complex Bengali MWPs arXiv:2607.22859v1 Announce Type: new Abstract: Mathematical Word Problems (MWPs) are an important benchmark for evaluating natural language understanding and quantitative reasoning. Despite recent progress in high resource languages, Bengali remains underexplored due to the… 24 arXiv — NLP / Computation & Language research 17d ago Not All LLM Reasoning is Visible in the Chain-of-Thought arXiv:2607.22925v1 Announce Type: new Abstract: A key question for AI safety is whether a language model expresses all of its reasoning in its output tokens. We demonstrate a concrete failure mode where frontier models exhibit invisible reasoning by leveraging semantically… 16 arXiv — NLP / Computation & Language research 17d ago ADAGE: A Language-Agnostic Pipeline for Analogical Reasoning Evaluation arXiv:2607.23058v1 Announce Type: new Abstract: Multilingual reasoning evaluation overwhelmingly relies on translating English benchmarks, a practice that introduces linguistic artifacts and fails to test culturally-grounded reasoning. We introduce ADAGE (Analogical… 33 arXiv — NLP / Computation & Language research 17d ago Co-Evolving Graph and Text Memory for Training-Free Multi-Hop Question Answering arXiv:2607.23278v1 Announce Type: new Abstract: Multi-hop question answering requires coordinating relational and textual evidence across reasoning steps, a combination neither a text corpus nor a knowledge graph can supply alone. Prior work often emphasizes only part of this… 6 arXiv — NLP / Computation & Language research 17d ago Reasoning or Memorization: Can LLMs Understand and Generate Chinese Xiehouyu Riddles? arXiv:2607.23440v1 Announce Type: new Abstract: In this paper, we push the boundary of LLM reasoning by testing them in a Chinese language game, xiehouyu, with novel xiehouyu created by linguists that had not existed before to avoid data contamination. We use multiple-choice… 17 arXiv — NLP / Computation & Language research 17d ago Two Regimes of Chain-of-Thought Unfaithfulness: Behavioral Detection Fails Where Models Are Wrong arXiv:2607.23458v1 Announce Type: new Abstract: Chain-of-thought (CoT) explanations support oversight only if they are faithful: the stated reasoning must actually produce the answer. Auditing black-box (behavioral) detection of unfaithful CoT against FaithCoT-Bench's human… 14 arXiv — NLP / Computation & Language research 17d ago Do Diagrams Help Large Language Models Reason? Evidence from Syllogistic Reasoning arXiv:2607.23513v1 Announce Type: new Abstract: Diagrams are widely used to support logical reasoning, and prior studies suggest that representations such as Euler diagrams can improve human reasoning performance. Recent work has also explored their effects on large language… 20 arXiv — NLP / Computation & Language research 17d ago Novel Claim or D\'ej\`a Vu? Rethinking "Contamination-Free'' Dynamic Evaluation for Multimodal Automated Fact-Checking arXiv:2607.23514v1 Announce Type: new Abstract: Multimodal automated fact-checking (MAFC) verifies claims by retrieving and reasoning over external evidence. However, most existing static benchmarks risk contamination: they primarily consist of outdated claims verifiable using… 28 arXiv — NLP / Computation & Language research 17d ago INS-ActBench: A Comprehensive Benchmark for Assessing Professional Actuarial Capability of Large Language Models arXiv:2607.24273v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown strong potential in financial reasoning, but existing benchmarks often evaluate domain knowledge, numerical reasoning, long-context understanding, and tool use in separate settings. This… 32 arXiv — NLP / Computation & Language research 17d ago Grounding latent algorithm routing in transformer reasoning arXiv:2607.24471v1 Announce Type: new Abstract: A central question in the in-context learning literature is whether transformers can organize episode-level adaptation around different inductive-bias families. We study this question in a controlled setting through latent… 13 arXiv — NLP / Computation & Language research 17d ago Masked Distillation: Internalizing the Chain-of-Thought in Language Models arXiv:2607.22629v1 Announce Type: cross Abstract: Large Reasoning Models (LRMs) produce long, explicit chains of intermediate steps before generating a final answer at inference time. These intermediate traces dominate latency, memory usage, and serving cost, even though the… 32 Hugging Face Daily Papers research 17d ago From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search Abstract Agentic search enables large language models to solve knowledge-intensive tasks by interleaving multi-step reasoning with retrieval, yet optimizing this with outcome-based reinforcement learning (RL) provides only sparse supervision. Knowledge distillation can supply… 15 Hugging Face Daily Papers research 17d ago O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning Abstract Industrial Video Anomaly Detection (IVAD) aims to identify anomalous objects and events in an industrial process, which is crucial for modern manufacturing and quality control systems. Existing VLM-based anomaly reasoning methods are capable of detecting open-ended… 5 Hugging Face Daily Papers research 18d ago Scaling Native Multimodal Pre-Training From Scratch Abstract Although large language models (LLMs) exhibit remarkable reasoning capabilities, their reliance on text-only pre-training restricts the perception of the multimodal physical world. Native multimodal pre-training avoids this limitation by training models from scratch on… 28 Hugging Face Daily Papers research 18d ago Multi-Head Latent Control: A Unified Interface for LLM Agent Decision Making Abstract Large language models are increasingly deployed as agents, but reliable agentic behavior requires more than next-token prediction. At inference time, it is preferred that an agent can decide whether to proceed with its current reasoning, defer to a stronger model,… 24 Hugging Face Daily Papers research 18d ago Agentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architecture Problems Abstract Production AI agents' failures are less often due to an inability to reason well and more often because they cannot manage what is in their reasoning context: conversation histories, large prompts, large tool definitions, and ballooning tool outputs. Agents drown in… 35 arXiv — NLP / Computation & Language research 18d ago LeAct: Learning to Reason from Expert Actions arXiv:2607.21856v1 Announce Type: cross Abstract: Modern reasoning models depend on reasoning data, today sourced from human annotations or distilled from stronger LLMs. However, a rich and largely untapped source of supervision lies in expert systems (e.g., game engines,… 17 arXiv — Machine Learning research 18d ago MA-DAR: Manifold-Aligned Dynamic Adaptive Routing for Continual Temporal Knowledge Graph Reasoning arXiv:2607.21949v1 Announce Type: new Abstract: Continual temporal knowledge graph (TKG) reasoning aims to continuously incorporate newly emerging facts while preserving previously acquired knowledge. Replay-based continual learning has achieved promising performance by… 36 Page 7 of 10 · 500 articles ← Newer Older →
