News / #reasoning Tag Reasoning 500 articles archived under #reasoning · RSS Sign in to follow Hugging Face Daily Papers research 1mo ago Cliff: Learning Process Rewards from the First Mistake Abstract Cliff improves reinforcement learning with verifiable rewards by using an off-the-shelf language model to detect the first reasoning error and shaping token-level advantages accordingly. Generated by thinkingmachines/Inkling-Small Reinforcement learning with verifiable… 23 Hugging Face Daily Papers research 1mo ago Influence-Directed Distillation: Solving the Diversity Bottleneck in Sampled-Token On-Policy Distillation Abstract Influence-Directed Adaptive On-Policy Distillation improves diversity transfer in reasoning model distillation by selectively preserving entropy-expanding updates and replacing entropy-contracting ones with adaptive advantage shrinkage. Generated by… 23 Hugging Face Daily Papers research 1mo ago Knowledge Distillation During Mid-Training Favors Reasoning over Factual Recall Abstract Switch Distillation selectively applies logit-based knowledge distillation during mid-training based on teacher confidence to improve reasoning and preserve factual recall in smaller language models. Generated by thinkingmachines/Inkling-Small Logit-based knowledge… 26 r/LocalLLaMA community 1mo ago Looking for a small LLM for Linux command generation I'm looking for a small LLM to act as a Linux command assistant. I will use llama.cpp. use case: - User asks in natural language. Model outputs only the shell command - Should work well with no reasoning (for example, LFM 2.6 has forced reasoning) - Fast, like ~4B at most, cause… 29 TechCrunch — AI news-outlet 1mo ago OpenAI’s new reasoning technique alarms AI safety experts OpenAI’s new Astra model will use “recurrent depth,” a technique that allows the model to operate outside of the sequential thinking that characterizes most reasoning models. 35 llama.cpp releases dev-tools 1mo ago b10763 common, server : enable preserve_reasoning kwarg by default, log its effective state ( #28174 ) common, server : enable preserve_reasoning kwarg by default, log its effective state If the preserve_reasoning chat template kwarg is not specified explicitly via --reasoning-preserve… 25 Simon Willison community 1mo ago llm-anthropic 0.28 Release: llm-anthropic 0.28 Claude Fable 5.1 , reasoning traces are now displayed by default for models that support them, plus a new llm_anthropic.ClaudeRefusal exception for when Claude throws a refusal. Tags: llm , anthropic , claude , claude-mythos-fable 15 Hugging Face Daily Papers research 1mo ago Token-Efficient Data Reasoning Agents via Adaptive Structuring of Unstructured Data Abstract Valuable data remains embedded in unstructured sources: web pages, reports, contracts, filings, earnings calls, and PDFs. The big bet in enterprise AI is deploying LLM agents that reason over this data to answer complex questions for every knowledge worker. Agents can… 6 MIT News — AI research 1mo ago System helps humans predict when self-driving cars will make mistakes A new method, called CW-Net, translates the reasoning process of an autonomous vehicle’s AI system into understandable concepts that explain its behavior. 36 r/MachineLearning community 1mo ago Detailed explanation of how to create a text-to-image model from scratch. [R] Jasper Research just released a cookbook on how to build a text-to-image model from scratch. It shares the full reasoning and intermediate results, making it ideal if you want to deep-dive into text-to-image models, or if you are curious about how frontier labs build them. The… 21 The Information — AI news-outlet 1mo ago New Reasoning Strategies Sweep Through OpenAI, Other Developers Before we get to today’s column, we’re just three weeks away from AI Agenda Live , our flagship conference on all things artificial intelligence (a.k.a. my personal Super Bowl). We’ll be joined in San Francisco by top researchers, founders, operators and investors who will be… 16 Hugging Face Daily Papers research 1mo ago Learning Where Outcomes Change:Credit-Addressable Reasoning for Multimodal Geometry Abstract Credit-addressable reasoning via executable code traces and localized reinforcement learning improves multimodal geometry reasoning by aligning credit assignment with structured reasoning events. Generated by thinkingmachines/Inkling-Small Multimodal geometry reasoning… 5 r/LocalLLaMA community 1mo ago Qwen will be the king? Extended reasoning and post-training appear to be the keys used by DeepSeek, Qwen, and GLM to boost performance (leveraging higher token counts). And Qwen 4 hasn't even been released yet. Of course, we don't know if that release will be open-sourced, but I am optimistic about… 37 arXiv — Machine Learning research 1mo ago Assessing Alignment and Stability of Feature Importance Explanations via Weight of Evidence arXiv:2609.00090v1 Announce Type: new Abstract: Feature importance Methods (FIMs) are widely used in Explainable AI to interpret model predictions, yet attribution scores alone often provide limited insight into the underlying reasoning process. In this work, we introduce a… 38 arXiv — Machine Learning research 1mo ago Generative artificial intelligence for reliable mechanistic reasoning for corrosion arXiv:2609.00099v1 Announce Type: new Abstract: Corrosion accounts for approximately 4% of global GDP, and reliable prediction is essential for timely mitigation. Machine learning effectively predicts corrosion rates from composition, microstructure, and environmental variables,… 8 arXiv — Machine Learning research 1mo ago Adapting Without Gradients: Affine Statistics Transport and What Its Certificate Can Tell You arXiv:2609.00374v1 Announce Type: new Abstract: Test-time adaptation (TTA) typically assumes that model parameters can be updated at inference time. This assumption is restrictive for inference-only accelerators, frozen or third-party models, and memory-constrained deployments,… 10 arXiv — Machine Learning research 1mo ago Can LLMs Use Relational Transformer Embeddings? arXiv:2609.00457v1 Announce Type: new Abstract: Injecting frozen relational-encoder embeddings as soft tokens into a large language model (LLM) is a conceptually appealing fusion strategy: the encoder handles multi-table structure, the LLM handles language and reasoning, and no… 23 arXiv — Machine Learning research 1mo ago CRAFT: Fine-Tuning Pre-hoc Explainability in AI-native 6G RAN arXiv:2609.00590v1 Announce Type: new Abstract: The next generation of mobile networks is envisioned as fully AI-native, with AI-RAN architectures embedding small language models (SLMs) to perform reasoning over real-time telemetry. The state-of-the-art training paradigms for… 26 arXiv — Machine Learning research 1mo ago Bandits in Prod: Hyperparameter Optimization at Inference Time arXiv:2609.01335v1 Announce Type: new Abstract: Many production systems can assess a configuration only by using it on live requests and observing noisy feedback. Modern agentic systems are a prominent example, with inference-time choices such as model selection, retrieval… 35 arXiv — Machine Learning research 1mo ago Diffusion as a Training Curriculum for Timestep-Free Iterative Reasoning arXiv:2609.01449v1 Announce Type: new Abstract: Diffusion models and recursive reasoners are both iterative, but they carry information across iterations differently. We add a persistent hidden state to a diffusion denoiser and remove its timestep conditioning, leaving a single… 22 arXiv — NLP / Computation & Language research 1mo ago Behaviorally Grounded User Profiles from the Wild for Personalized Alignment and Multi-Perspective Reasoning arXiv:2609.00014v1 Announce Type: new Abstract: Persona-driven techniques increasingly adapt large language models (LLMs) to diverse contexts. However, existing methods predominantly rely on rigid, synthetic personas that flatten individual variation, rely on stereotypes, and… 35 arXiv — NLP / Computation & Language research 1mo ago Do General NLP Embeddings Capture Ontological Reasoning? arXiv:2609.00177v1 Announce Type: new Abstract: General-purpose NLP embedding models perform well on linguistic tasks, but their ability to capture symbolic ontological structure remains unclear. We introduce AVA, a systematic framework for evaluating whether embeddings… 27 arXiv — NLP / Computation & Language research 1mo ago Trust Your Guide Only When Certain: Uncertainty-Aware Sparse Alignment at Inference Time arXiv:2609.00624v1 Announce Type: new Abstract: A prominent paradigm in inference-time alignment employs lightweight supervisors to steer Large Language Models (LLMs). Through empirical analysis, we identify a structural mismatch in this paradigm: weak supervisors exhibit… 14 arXiv — NLP / Computation & Language research 1mo ago ClinTraceBench: Source-Verifiable Longitudinal Clinical Reasoning over EHR-Derived Dialogues arXiv:2609.01111v1 Announce Type: new Abstract: Clinical LLM assistants must reason over multi-visit patient trajectories, yet whether the compact history representations used to scale them---retrieval, structured timelines, LLM summaries, agentic memory---preserve the… 35 arXiv — NLP / Computation & Language research 1mo ago From Base Rollouts to RL Reasoning: A Budgeted Search Perspective arXiv:2609.01274v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) improves language-model reasoning, but how these gains relate to inference-time decoding and search remains unclear. Does RL create reasoning the base model lacks, or shift the… 35 Hugging Face Daily Papers research 1mo ago UI-Venus-2 Technical Report Abstract UI-Venus-2 is a general-purpose multimodal GUI agent that uses unified reasoning-action loops, expanded environment coverage, and robust verification to enable reliable real-world digital automation. Generated by thinkingmachines/Inkling-Small Multimodal GUI agents have… 34 Hugging Face Daily Papers research 1mo ago InternReviewer & InternAdvocate: Objective Reward and Evaluation for Agentic Reinforcement Learning in Peer Review and Rebuttal Abstract Specialized scholarly agents use reinforcement learning and real-time citation verification to improve reasoning and factual accuracy in peer review and rebuttal generation. Generated by thinkingmachines/Inkling-Small Generating professional scholarly content, such as… 18 Hugging Face Daily Papers research 1mo ago CoVA-SFT: A Large-Scale Dataset for Chain of Visual Abstractions Abstract CoVA-SFT is a multimodal reasoning dataset that teaches language models to interleave text and visual abstractions via structured reasoning steps, improving performance on visual reasoning benchmarks. Generated by thinkingmachines/Inkling-Small Chain-of-thought (CoT)… 9 r/LocalLLaMA community 1mo ago Multilingual Tiny (3.7B) Reasoning MoE pretrained from scratch on a consumer-grade GPU Hello! I've just uploaded a recent checkpoint of my model trained from scratch: https://huggingface.co/piotr-ai/polanka_3.7b_exp_wip_260901 It was pre-trained, mid-trained, and fine-tuned on a single 4090 over many months. How many tokens? I lost count. Feel free to use it as a… 10 r/MachineLearning community 1mo ago Latent Reasoning Landscape in 2026: Mapping BDH-CQ, HRM/TRM, Coconut [D] After following various arXiv papers and researcher discussions on X/bluesky about latent reasoning and continual learning, one idea which resonates strongly is that path forward (towards AGI) may depend less on generating ever-longer chains of thought and more on finding… 29 Hugging Face Daily Papers research 1mo ago Chain-of-Thought Faithfulness of Reasoning Models Varies with Where and How Preference Cues Are Delivered Abstract FACE-Eval reveals that chain-of-thought monitoring is less reliable when preference cues arrive via tool outputs or implicit artifacts, with lower verbalized commitment and higher hidden adoption across diverse open-weight models. Generated by… 19 Hugging Face Daily Papers research 1mo ago Scaffolding Foundation Models into Physical-World Agents Pushes the Frontier of Long-Horizon Navigation Abstract NavMCP integrates vision-language reasoning with navigation execution via structured collaboration channels to enable persistent long-horizon embodied exploration without retraining. Generated by thinkingmachines/Inkling-Small Long-horizon physical-world agents must… 35 Hugging Face Daily Papers research 1mo ago LightNav-0: Eliciting VLM Spatial Intelligence for Generalist Embodied Navigation Abstract LightNav-0 is a compact generalist navigation model that leverages a pretrained vision-language model’s spatial reasoning via unified pointing tokens and action tokenization to achieve state-of-the-art embodied navigation across diverse tasks and robots. Generated by… 34 Hugging Face Daily Papers research 1mo ago SHAPE of Chain-of-Thought in Math Reasoning Abstract SHAPE analyzes chain-of-thought reasoning via semantic spaces and heuristics to diagnose LLM mathematical reasoning and improve post-training. Generated by thinkingmachines/Inkling-Small Large language models (LLMs) achieve strong performance on mathematical reasoning… 7 arXiv — Machine Learning research 1mo ago ERR+: Sequential Entropy Resolution for Efficient and Decisive LLM Reasoning arXiv:2608.28771v1 Announce Type: new Abstract: Large reasoning models achieve strong performance on complex tasks by generating extended chain-of-thought (CoT) traces via reinforcement learning with verifiable rewards (RLVR). While current RLVR methods have achieved strong… 36 arXiv — Machine Learning research 1mo ago The Halt Vector: Internalizing a Causal Steering Intervention for Efficient Reasoning arXiv:2608.28859v1 Announce Type: new Abstract: Reasoning models do not stop when they know the answer. On DeepSeek-R1-Distill-Qwen-7B the chain of thought runs about twice as long as the model's own answer probability takes to settle, and how much of that excess is removable… 12 arXiv — Machine Learning research 1mo ago Selective Disclosure of Hidden Directives in Reasoning Models: Behavioral Asymmetry and Steering arXiv:2608.29070v1 Announce Type: new Abstract: Chain-of-thought (CoT) reasoning traces are increasingly proposed as a mechanism for AI oversight: a monitor inspecting a model's reasoning can, in principle, detect misbehavior invisible from outputs alone. This assumes CoT… 6 arXiv — Machine Learning research 1mo ago Where Induction Runs Out: Description-Length Difficulty and the Memorisation Gap in Integer-Sequence Benchmarks arXiv:2608.29411v1 Announce Type: new Abstract: Integer sequences from the On-Line Encyclopedia of Integer Sequences (OEIS) are increasingly used to benchmark mathematical reasoning in language models. We ask what such benchmarks actually measure, using an exactly computable… 5 arXiv — NLP / Computation & Language research 1mo ago From GenAI Virtual Patient Dialogue Logs to Teacher-Interpretable Process Evidence: A Learning Analytics Study in Higher Education arXiv:2608.28619v1 Announce Type: new Abstract: Medical history taking is a dialogue-based clinical reasoning task in which learners must gather, organise, and integrate patient information while the consultation unfolds. Generative AI-powered virtual patients (GenAI VPs) make… 27 arXiv — NLP / Computation & Language research 1mo ago Looking Again: Measuring Sycophancy in the Reasoning Chains of Multimodal Models Under Pressure arXiv:2608.28623v1 Announce Type: new Abstract: Large multimodal reasoning models (LMRMs) are getting increasingly capable, primarily through generating explicit chain-of-thought reasoning before answering. In language models it has been observed that this performance often… 25 arXiv — NLP / Computation & Language research 1mo ago Test-Time Scaling for Scientific Equation Discovery arXiv:2608.28660v1 Announce Type: new Abstract: Test-time scaling (TTS) improves language model reasoning by allocating additional test-time compute, but prior work mainly studies closed-ended tasks such as math and coding. We study TTS for automated equation discovery, an… 31 arXiv — NLP / Computation & Language research 1mo ago ReVA: A Region-Aware Visual Assistant for Visually Grounded Question Answering arXiv:2608.28707v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) have achieved remarkable progress in Visual Question Answering (VQA), yet they continue to struggle with questions requiring precise spatial reasoning and fine-grained visual understanding.… 38 arXiv — NLP / Computation & Language research 1mo ago No Detectable Change in Side-Level WER from Prompt-Level Context: A Preregistered Ablation on a Production Oral-History Corpus arXiv:2608.28875v1 Announce Type: new Abstract: Supplying context at inference time to a large multimodal model is an inexpensive lever for adapting speech transcription to a domain, and earlier results on smaller models reported large gains. This work tested that mechanism… 25 arXiv — NLP / Computation & Language research 1mo ago CoVA-SFT: A Large-Scale Dataset for Chain of Visual Abstractions arXiv:2608.28958v1 Announce Type: new Abstract: Chain-of-thought (CoT) reasoning has dramatically improved large language models (LLMs) by allowing them to decompose problems into intermediate steps. While CoT is widely effective for linguistic tasks, text-only CoT forces models… 26 arXiv — NLP / Computation & Language research 1mo ago HEAR Who Said What: Unlocking Speaker-Attributed Reasoning via Counterfactual Voice Grounding arXiv:2608.29120v1 Announce Type: new Abstract: Speech Language Models (SLMs) are increasingly deployed in multi-speaker environments, yet their ability to attribute speech to the correct speaker and reason over speaker identities remains unclear. Hence, we introduce HEAR, a… 30 arXiv — NLP / Computation & Language research 1mo ago Modality Fault Lines: Structural Corruptions Reveal Fragile Omni-Modal Reasoning arXiv:2608.29278v1 Announce Type: new Abstract: Omni-modal large language models are increasingly evaluated on clean text--vision--audio inputs, where every channel is present, synchronized, and readily interpretable. Such scores are often taken as evidence of robust cross-modal… 21 arXiv — NLP / Computation & Language research 1mo ago Evaluating the Semantic Specificity of Representation Steering in Language Models arXiv:2608.29431v1 Announce Type: new Abstract: Localized Representation Steering (LRS) is widely used to correct reasoning pathologies in large language models. However, standard benchmark evaluations can easily be fooled by superficial label overrides, creating a false… 5 arXiv — NLP / Computation & Language research 1mo ago Chain-of-Thought Faithfulness of Reasoning Models Varies with Where and How Preference Cues Are Delivered arXiv:2608.29464v1 Announce Type: new Abstract: Chain-of-thought (CoT) monitoring assumes that reasoning traces faithfully record the information that shapes a model's answer. Existing faithfulness tests often place explicit bias cues in the user message, while agents may… 29 arXiv — NLP / Computation & Language research 1mo ago JPO: Juris Policy Optimization for Structured Legal Reasoning in Criminal Judgment Prediction arXiv:2608.29616v1 Announce Type: new Abstract: Criminal judgment prediction requires models to infer statutory articles, charges, and sentencing outcomes from case facts. Unlike standard classification tasks, it involves a structured reasoning process in which statutes should… 7 arXiv — NLP / Computation & Language research 1mo ago Memory-First Fact-Checking: A Knowledge-Graph-Grounded Multi-Agent System for Misinformation Detection arXiv:2608.29617v1 Announce Type: new Abstract: This paper introduces a hybrid fact-checking framework that integrates Knowledge Graph-based semantic memory with adversarial multi-agent reasoning for explainable misinformation detection. The proposed system follows a… 25 Page 10 of 10 · 500 articles ← Newer
