News / #reasoning Tag Reasoning 500 articles archived under #reasoning · RSS Sign in to follow Hugging Face Daily Papers research 29d ago ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search Abstract ZGCM-1 is a 7B open foundation model that combines internal reasoning with external tool use, trained via efficient architecture-system co-design, progressive long-context scaling, and autonomous agent workflows to achieve strong reasoning and efficiency. Generated by… 26 Hugging Face Daily Papers research 1mo ago Omni-Streaming Thinking Abstract Omni-Streaming Thinking improves streaming omni-modal reasoning by deferring claims until cross-modal verification, reducing premature commitment and auditory hallucinations. Generated by thinkingmachines/Inkling-Small Streaming omni-modal models must decide what and… 14 r/LocalLLaMA community 1mo ago UkisAI Swift-Qwen3.8-27B / -58.3% thinking, x1.95 speed while keeping the accuracy of xhigh Hi everybody, we post-trained Qwen 3.8 27B to be more efficient by figuring out which tokens were linked to overthinking and penalizing them without "attacking" the reasoning length directly then fixed the accuracy with a bit of secret sauce (hint On-Policy Distillation) and… 32 r/LocalLLaMA community 1mo ago Intern-S2-397B (multimodal, reasoning, coding, and scientific agent capabilities) Model: https://huggingface.co/internlm/Intern-S2-397B Collection: https://huggingface.co/collections/internlm/intern-s2 From Intern Large Models on 𝕏: https://x.com/intern_lm/status/2099425184587370976 vLLM on 𝕏: Day-0 support for Intern Large Models Intern-S2-397B is now… 17 Hugging Face Daily Papers research 1mo ago Feyospace-v1: How the Cyber Mercury Seven Trained Frontier Cyber Models Abstract A data-centric framework with specialized systems for reasoning analysis, cost reduction, and execution verification enables small teams to train open-weight cyber agents that achieve top-tier performance on benchmark suites. Generated by thinkingmachines/Inkling-Small… 17 arXiv — Machine Learning research 1mo ago Reinforcement Learning over Patient Trajectories for Clinical Reasoning in EHR Foundation Models arXiv:2609.12277v1 Announce Type: new Abstract: Electronic health record (EHR) foundation models trained on longitudinal patient trajectories have demonstrated strong performance across diverse clinical prediction tasks. However, their clinical reasoning capabilities remain… 14 arXiv — Machine Learning research 1mo ago Sampling via Decision-Flow: Training-Free Extraction of Improved Latent Reasoning Paths in Large Language Models arXiv:2609.12317v1 Announce Type: new Abstract: A central question in LLM reasoning is whether reinforcement learning (RL) instills genuinely new capabilities or merely reshapes how existing knowledge is expressed during inference. Building on the distribution-sharpening… 38 arXiv — Machine Learning research 1mo ago When Connected Does Not Mean Similar: Charting the Homophily Boundary of SNAP-KG for Streaming Entity Integration arXiv:2609.12356v1 Announce Type: new Abstract: SNAP-KG is a framework for assigning newly arriving entities to semantic communities in a growing knowledge graph (KG) using only their raw features, with no graph access and no retraining at inference time. It was evaluated on… 20 arXiv — Machine Learning research 1mo ago CanvasAnneal: Curriculum Reinforcement Learning for Diffusion Language Models arXiv:2609.13060v1 Announce Type: new Abstract: Diffusion Language Models (DLMs) offer promising parallel generation capabilities but lag behind autoregressive models in complex reasoning and tool-use tasks. While Reinforcement Learning (RL) has recently been applied to enhance… 38 arXiv — NLP / Computation & Language research 1mo ago R2VC: Modular Fact-Checking with Retrieval, Verification, and Confidence Calibration arXiv:2609.11955v1 Announce Type: new Abstract: Large language models are increasingly used for automated fact checking, but end-to-end prompting often entangles evidence retrieval, reasoning, and uncertainty estimation, making failures difficult to diagnose and confidence… 19 arXiv — NLP / Computation & Language research 1mo ago Repair Before Reinforce: Context-Augmented Knowledge Graph Reasoning for Multi-Hop Question Answering arXiv:2609.12230v1 Announce Type: new Abstract: Question-answering often requires reasoning across multiple connected facts rather than retrieving a single isolated relation. Knowledge graphs (KGs) provide a structured way to represent such facts, but training large language… 28 arXiv — NLP / Computation & Language research 1mo ago Chopthin-Consensus Power Sampling: A Diversity-Preserving Approach to LLM Decoding arXiv:2609.12243v1 Announce Type: new Abstract: Inference-time power sampling via Sequential Monte Carlo (SMC) can substantially improve large language model (LLM) reasoning without requiring post-training. However, many existing SMC approaches rely on equal-weight resampling,… 26 arXiv — NLP / Computation & Language research 1mo ago Tasks over Application Manuals: Revealing Gaps in Long-Horizon Procedural Reasoning for Language Models arXiv:2609.13005v1 Announce Type: new Abstract: Large language models (LLMs) have achieved strong performance on a wide range of natural language tasks, and recent benchmarks suggest that they are increasingly adept at multi-hop reasoning. However, these benchmarks are typically… 26 arXiv — NLP / Computation & Language research 1mo ago KoSimpleQA: A Korean Factuality Benchmark with an Analysis of Reasoning LLMs arXiv:2510.18368v2 Announce Type: replace Abstract: We present $\textbf{Korean SimpleQA (KoSimpleQA)}$, a benchmark for evaluating factuality in large language models (LLMs) with a focus on Korean cultural knowledge. KoSimpleQA is designed to be challenging yet easy to grade,… 12 arXiv — NLP / Computation & Language research 1mo ago MMGR: Multi-Modal Generative Reasoning Benchmark and Evaluation arXiv:2512.14691v3 Announce Type: replace Abstract: Modern multimodal generative models can synthesize visually compelling images and videos, but it remains unclear whether this visual fluency reflects genuine reasoning: when prompted to generate a solution, can a model preserve… 8 r/LocalLLaMA community 1mo ago Nex-N2.5-mini-MLX-4bit on Apple M5 Max — 133.6 tok/s — llm-bench.io Another new model dropped in the course of this week that is well deployable on consumer hardware: Nex N2.5 Mini I went with the recommended settings for the best generation quality and ran a few benchmarks: temperature: 0.7 top_p: 0.95 top_k: 40 reasoning_effort: high I must… 20 r/LocalLLaMA community 1mo ago Agnes-AI/Agnes-3.0-Flash 33B Multimodal, AA score: 36 I find this new model at HF: "Built for demanding work. A 262 144-token context window, adjustable reasoning effort, tool calling, and text, image and video understanding. Architecture Agnes-3.0-Flash is a hybrid-attention decoder: three of every four layers run a gated delta… 26 Hugging Face Daily Papers research 1mo ago Think Before You Link: Rarity, Reasoning, and Retrieval in Multilingual Entity Linking Abstract A reasoning-capable vision-language model that iteratively retrieves and reasons over Wikipedia improves multimodal entity linking for rare entities defined by knowledge-graph structure. Generated by thinkingmachines/Inkling-Small Multimodal entity linking grounds… 29 Hugging Face Daily Papers research 1mo ago Building Multilingual Bridges: Data Mixing as the Pillar of Generalization for In-Language Reasoning Abstract Optimized supervised fine-tuning data composition enables reasoning models to consistently process and respond in diverse non-English languages without requiring reasoning supervision in each target language. Generated by thinkingmachines/Inkling-Small Reasoning… 36 Hugging Face Daily Papers research 1mo ago Beyond Solver Verdicts: Generative Reward Models for Autoformalization Abstract Neurosymbolic reasoning is vulnerable to incorrect but verdict-matching formal translations, which are addressed by a generative verification method that scores reference equivalence without an oracle and improves downstream accuracy. Generated by… 6 r/LocalLLaMA community 1mo ago OpenAI can use all interactions of paid users, even if they opted out of training Their opt-out terms don't seem to apply to reasoning tokens. Since consumers do not receive hidden reasoning tokens from OpenAI, it is unclear if it counts as "Output" protected by the paid user opt-out policy. For e.g. the terms say we are responsible for and own Output, which… 9 r/LocalLLaMA community 1mo ago Thinking that we’ll get safety by CoT traces is wishful thinking. Safety lives in the harness, not the chain of thought Astra's launch has produced a strange discourse. The reporting that broke the story framed the model's use of recurrent depth primarily as a safety regression, because it means the model reveals less of its "thinking." Spinning latent reasoning as the villain here makes very… 22 Hugging Face Daily Papers research 1mo ago Negative Self-Distillation: Learning to Reason by Avoiding Flaws Abstract Negative Self-Distillation improves large language model reasoning by pushing models away from self-generated flawed reasoning via a dynamic gating mechanism that protects linguistic capabilities. Generated by thinkingmachines/Inkling-Small On-Policy Self-Distillation… 16 Hugging Face Daily Papers research 1mo ago MetroLLM-Bench: Evaluating Language Models as Transit Kiosk Runtimes Abstract A benchmark for transit-kiosk policy reasoning shows that small parameter-efficiently fine-tuned language models can match larger models on structured tool-use and fare-quoting tasks. Generated by thinkingmachines/Inkling-Small We introduce MetroLLM-Bench, a 955-case… 9 Hugging Face Daily Papers research 1mo ago TempCloze: Can Video-LLMs Identify the Missing Middle? Abstract TempCloze evaluates visual temporal reasoning in Video-LLMs by requiring identification of missing video segments from distractors targeting semantics, alignment, and progression. Generated by thinkingmachines/Inkling-Small Temporal reasoning benchmarks for Video-LLMs… 29 arXiv — Machine Learning research 1mo ago GEOSTEER: Geodesic Optimization for Activation Steering in Large Language Models arXiv:2609.10658v1 Announce Type: new Abstract: Activation steering provides a lightweight way to control large language models (LLMs) by modifying their hidden activations at inference time. Among these approaches, norm-preserving steering aims to change model behavior without… 24 arXiv — Machine Learning research 1mo ago EMMI: Edge Multi-Modal Intelligence for Communication-Efficient MLLM Inference via Fused Representation Compression arXiv:2609.11058v1 Announce Type: new Abstract: Recent advances in multimodal large language mod- els (MLLMs) have opened new opportunities for edge intelligence by enabling reasoning across heterogeneous sensor modalities, such as vision, text, and telemetry data. However,… 4 arXiv — NLP / Computation & Language research 1mo ago Beyond Solver Verdicts: Generative Reward Models for Autoformalization arXiv:2609.11085v1 Announce Type: cross Abstract: Neurosymbolic systems rely on mathematical solvers to guarantee reasoning correctness, yet solvers are fundamentally blind to whether a formal translation maintains strict reference-equivalence to a designated formalization. We… 27 arXiv — Machine Learning research 1mo ago CausalArena: Benchmarking Causal Discovery in the Foundation Model Era arXiv:2609.11897v1 Announce Type: new Abstract: Causal discovery aims to uncover causal structures from data and is fundamental to scientific reasoning and intervention-based decision making. Its evaluation relies heavily on structural causal models (SCMs), which specify a… 14 arXiv — Machine Learning research 1mo ago A Multi-Stage Rule-Chaining Framework for Compositional and Interpretable Cognitive Reasoning arXiv:2609.10654v1 Announce Type: cross Abstract: The Abstraction and Reasoning Corpus (ARC) benchmarks cognitive generalization, the ability to infer and apply abstract rules from limited examples. This paper presents a multi-stage rule-chaining framework that performs… 5 arXiv — NLP / Computation & Language research 1mo ago Think Before You Link: Rarity, Reasoning, and Retrieval in Multilingual Entity Linking arXiv:2609.10745v1 Announce Type: new Abstract: Multimodal entity linking grounds entity mentions in text and images to knowledge-base entries. These systems degrade on rare entities, but prior work measures rarity primarily through popularity-based metrics such as pageviews. We… 19 arXiv — NLP / Computation & Language research 1mo ago BodyCam-VQA: Enhanced Body-Worn Camera Video Captioning via Multimodal Reasoning and Probe Question Generation arXiv:2609.10815v1 Announce Type: cross Abstract: Police body-worn camera (BWC) footage has emerged as a critical aspect of law enforcement that ensures legal transparency, officer accountability, and the protection of civil rights. However, effectively processing this data… 17 arXiv — NLP / Computation & Language research 1mo ago MindTopo: Can Foundation Models Reason in Topological Space? arXiv:2609.11900v1 Announce Type: cross Abstract: Spatial reasoning depends not only on metric properties such as distance, angle, and shape, but also on topological relations that remain invariant under continuous deformation. Cognitive science identifies these relations as… 36 Hugging Face Daily Papers research 1mo ago SpatialBlock: Enhancing Spatial Intelligence in LVLMs via Synthetic Block-Stacking Problem Abstract Large vision-language models trained on synthetic block-manipulation tasks improve 3D spatial reasoning and generalize to real-world visual tasks. Generated by thinkingmachines/Inkling-Small Large Vision-Language Models (LVLMs) have achieved strong performance on… 25 Hugging Face Daily Papers research 1mo ago SenseNova-U1.5: Towards Native Unified Visual Intelligence Abstract SenseNova-U1.5 is an 8B native unified multimodal model that performs visual understanding, reasoning, and generation without encoders or VAEs, achieving high fidelity and instruction following through patch reconstruction, curated data, expert optimization, and… 30 Hugging Face Daily Papers research 1mo ago CARDEA: Auditable Reasoning Grounded in Spatial Evidence for End-to-End Coronary Angiography Interpretation Abstract A unified vision-language model for coronary angiography uses chain-of-box reasoning and reinforcement learning with verifiable rewards to provide auditable diagnoses and improve zero-shot report generation. Generated by thinkingmachines/Inkling-Small Invasive coronary… 36 r/LocalLLaMA community 1mo ago GigaChat-3.5-Reasoning Hey y'all! We've released a new model in our lineup: GigaChat-3.5 Reasoning. It's a 432B-A28B MoE with Gated DeltaNet for long-context efficiency. We trained domain experts (code, math, general, etc.) with CISPO and then distilled them into a single model via on-policy… 18 r/LocalLLaMA community 1mo ago guide to using reasoning_effort on deepseek v4.1 flash   submitted by   /u/incarnadine72 [link]   [comments] 19 Hugging Face Daily Papers research 1mo ago WearableQA: A Benchmark for Health Reasoning over Real-World Wearable Data Abstract WearableQA is a benchmark of multiple-choice questions derived from real longitudinal wearable data that evaluates large language model reasoning across data and health dimensions. Generated by thinkingmachines/Inkling-Small Recent advances in wearable sensing enable… 18 arXiv — Machine Learning research 1mo ago Grounded and Faithful P&ID Reasoning: Constraining Vision-Language Models with Recovered Evidence Graphs arXiv:2609.05880v1 Announce Type: new Abstract: Piping and Instrumentation Diagrams (P&IDs) are the authoritative maps of process plants: isolation, maintenance, and HAZOP decisions depend on what connects to what. Vision-language models describe these sheets fluently, yet they… 36 arXiv — Machine Learning research 1mo ago DART: Distributional Adversarial Recurrent Training for Algorithm Learning arXiv:2609.05988v1 Announce Type: new Abstract: Recurrent reasoning models (RRMs) can solve structured problems, achieving easy-to-hard generalization through iterative computation in hidden space. These models are typically trained with instance-level supervision, which becomes… 29 arXiv — Machine Learning research 1mo ago Decision-Aware Suffix Prediction and Reasoning of Business Processes arXiv:2609.06169v1 Announce Type: new Abstract: Suffix prediction forecasts the remaining sequence of events of a running case until completion. Most approaches rely on neural networks trained on event logs, which, on average, perform well but struggle with short prefixes or… 6 arXiv — Machine Learning research 1mo ago SeaCausal-FL: Federated Fuzzy Causal Learning for Maritime IoT Fault Diagnosis and Counterfactual Reasoning arXiv:2609.06257v1 Announce Type: new Abstract: Reliable marine-engine fault diagnosis in maritime IoT is challenged by distributed data ownership, heterogeneous fault distributions, and continuously changing operating conditions. This paper proposes SeaCausal-FL, a federated… 23 arXiv — Machine Learning research 1mo ago One Step, One Lead: Mitigating Higher-Order Interference in Multi-Domain Reinforcement Learning via Cross-Step Control arXiv:2609.06469v1 Announce Type: new Abstract: Reinforcement learning (RL) across multiple domains can broaden the reasoning capabilities of large language models (LLMs), yet joint training often degrades individual-domain performance and can destabilize optimization. Existing… 24 arXiv — Machine Learning research 1mo ago DrugReason: Dynamic Multi-View Reasoning over Knowledge Graph and Language Evidence for Drug Repurposing arXiv:2609.06779v1 Announce Type: new Abstract: Drug repurposing aims to identify new therapeutic uses for existing compounds and, compared with de novo drug discovery, offers a faster and more cost-effective path to clinical translation. However, the space of candidate… 18 arXiv — NLP / Computation & Language research 1mo ago VLX-VR: An Agentic-Aware Video Reasoning Model arXiv:2609.09985v1 Announce Type: new Abstract: Real-world video understanding requires integrating visual, audio, textual, and temporal evidence distributed across a video. Yet many pipelines use a fixed video context and single-pass inference, limiting adaptive evidence… 26 arXiv — NLP / Computation & Language research 1mo ago Stable Answers, Unfinished Reasoning: Why Self-Consensus Is Not a Safe Early-Exit Signal arXiv:2609.09989v1 Announce Type: new Abstract: A natural way to cut reasoning-model inference cost is to repeatedly probe a single partial trajectory for its current answer and stop once probes agree -- self-consensus. We ask whether any such rule is both safe and token-saving,… 5 arXiv — NLP / Computation & Language research 1mo ago Data-Centric Post-Training for Financial Reasoning: Mining, Distillation, and Verifiable Learning arXiv:2609.10113v1 Announce Type: new Abstract: Financial text, textbooks, and question-answer pairs are abundant, but only a small fraction is directly usable for reasoning-focused post-training. Existing QA pairs often lack explicit reasoning, sufficient context, or reliably… 25 arXiv — NLP / Computation & Language research 1mo ago $\Phi$-Bench: Can Large Language Models Engineer the Infrastructure That Powers Them? arXiv:2609.10226v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated remarkable capabilities in reasoning and code generation, raising the prospect that they could assist in developing and optimizing the very infrastructure that powers them. However,… 36 arXiv — NLP / Computation & Language research 1mo ago Building Multilingual Bridges: Data Mixing as the Pillar of Generalization for In-Language Reasoning arXiv:2609.10445v1 Announce Type: new Abstract: Reasoning language models have made substantial advances on a variety of complex tasks, yet their capabilities remain overwhelmingly English-centric: models primarily reason in English regardless of the language they are prompted… 31 Page 7 of 10 · 500 articles ← Newer Older →
