News / #reasoning Tag Reasoning 500 articles archived under #reasoning · RSS Sign in to follow arXiv — NLP / Computation & Language research 1mo ago AgenticGen: Reward-Guided Agentic Video Generation for Advertising arXiv:2609.09187v1 Announce Type: cross Abstract: Advertising video generation is not only a video synthesis task, but also a product-conditioned reasoning problem whose success is measured by online business metrics. Recent video foundation models can generate realistic clips… 23 arXiv — NLP / Computation & Language research 1mo ago What Does MMLU Actually Measure? A Psychometric Audit of Difficulty Structure in Aggregate Benchmark Scores arXiv:2609.09372v1 Announce Type: cross Abstract: Although MMLU is widely adopted as a benchmark for calibrating general AI capabilities, we psychometrically demonstrate that its aggregate score primarily evaluates a model's factual retrieval capacity rather than its reasoning… 35 arXiv — NLP / Computation & Language research 1mo ago Who Are They to Each Other? Multi-Agent Reasoning for Speaker Relationship Inference arXiv:2609.09628v1 Announce Type: cross Abstract: Inferring speaker relationships from spoken conversations is an important step towards socially aware speech understanding. However, this task remains underexplored, and supervised modeling is costly to train and scale. At the… 24 arXiv — NLP / Computation & Language research 1mo ago LogiScope-VQA: Benchmarking Vision-Language Models for Logistics Hazard Identification in Industrial Scenarios arXiv:2609.09790v1 Announce Type: cross Abstract: Large Multimodal Models (LMMs) large-scale deployment in industrial warehouse settings specifically necessitates that models exhibit human-expert-level hazard-oriented perception, understanding, and reasoning capabilities.… 18 arXiv — NLP / Computation & Language research 1mo ago From Symbolic Perception to Logical Deduction: A Framework for Guiding Language Models in Geometric Reasoning arXiv:2609.10335v1 Announce Type: cross Abstract: Plane geometry remains a significant challenge in AI, requiring the integration of visual perception and mathematical reasoning. While Large Multimodal Models (LMMs) naturally handle visuo-linguistic inputs, they are often… 38 arXiv — NLP / Computation & Language research 1mo ago ConvMem: Convolutional Memory for Long-Context Reasoning arXiv:2609.10441v1 Announce Type: cross Abstract: While Large Language Models (LLMs) have demonstrated impressive capabilities, they often struggle with extremely long contexts due to fixed context limits. To address this, sequential approaches like MemAgent extend the effective… 38 arXiv — NLP / Computation & Language research 1mo ago When Do Large Language Models Exhibit Unsolicited Deception? arXiv:2504.00285v2 Announce Type: replace Abstract: Large Language Models (LLMs) are effective at deceiving when prompted to do so. Models that demonstrate better performance on reasoning tasks are also better at prompted deception. But under what conditions do they deceive… 23 Hugging Face Daily Papers research 1mo ago Difficulty-Adaptive Tree-Structured Policy Optimization for Expanding Reasoning Coverage in RLVR Abstract DATPO improves reasoning coverage in large models by using difficulty-adaptive tree-structured rollouts with sentence-entropy-guided branching and diversity-aware optimization. Generated by thinkingmachines/Inkling-Small Reinforcement Learning with Verifiable Rewards… 37 Hugging Face Daily Papers research 1mo ago Revisiting Complete Reasoning Traces for Post-Training Abstract Large language models gain reasoning improvements from truncated trajectory endpoints rather than full reasoning traces, reducing redundancy while benefiting supervised fine-tuning and reinforcement learning. Generated by thinkingmachines/Inkling-Small Large language… 5 LangChain releases dev-tools 1mo ago langchain-openai==1.6.2 Changes since langchain-openai==1.6.1 release(openai): 1.6.2 ( #40339 ) fix(openai): add GPT-6 Astra reasoning efforts ( #40330 ) chore(deps): bump httpx2 from 2.10.0 to 2.12.0 in /libs/partners/openai ( #40309 ) 30 Hacker News — AI on Front Page community 1mo ago Qwen 3.8 follows GPT-5.5 Pro reasoning prefills Article URL: https://gist.github.com/wsxiaoys/e0286dc6bb624ff5fdf49e7f4c528ba3 Comments URL: https://news.ycombinator.com/item?id=49630026 Points: 206 # Comments: 82 13 r/MachineLearning community 1mo ago What Sante's 83.83 on DiagnosisArena-MCQ actually measures [D] Ant Ling reports 83.83 on DiagnosisArena-MCQ for Ling-3.0-flash-Sante, its new medical reasoning model. The suffix matters: the task provides case information, examinations and tests, then asks the model to choose from four diagnoses. That result tells us about selecting an… 33 Ahead of AI (Sebastian Raschka) research 1mo ago GPT-6 Astra, Looped Transformers, and Hidden Reasoning A Look at Recurrent Depth, Hidden Chains of Thought, and Recent Research on Looping Transformer Blocks 16 OpenAI official-blog 1mo ago GPT-6 Astra: The next generation in intelligence for work Meet GPT-6 Astra, OpenAI’s most capable model for business, with advanced reasoning, computer use, and stronger writing and design judgment. 30 Hugging Face Daily Papers research 1mo ago A*-Thought-V2: Efficient Latent Reasoning via Geometric Dynamics of LLM Abstract A*-Thought-V2 models chain-of-thought reasoning as hidden-state trajectories to selectively retain explicit reasoning steps or compress them into continuous latent tokens, improving accuracy and efficiency. Generated by thinkingmachines/Inkling-Small Chain-of-Thought… 32 Hugging Face Daily Papers research 1mo ago ReactVAU: A Slow-Fast Decoupled Framework for Streaming Video Anomaly Understanding Abstract ReactVAU enables real-time streaming video anomaly understanding via a fast detection module, persistent anomaly-aware memory, and an on-demand slow reasoning module that minimizes heavy model usage. Generated by thinkingmachines/Inkling-Small In this paper, we propose… 19 Hugging Face Daily Papers research 1mo ago Omni Interaction Agent Technical Report Abstract Gander is an end-to-end framework that integrates continuous multi-modal streaming, real-time full-duplex interaction, and agentic reasoning through a Cerebellum-Brain architecture and a chunk-level token stream design. Generated by thinkingmachines/Inkling-Small In… 34 Hugging Face Daily Papers research 1mo ago RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Tasks? Abstract RoboSPA is a large-scale robotic manipulation benchmark that evaluates vision-language-action models on fine-grained spatial reasoning and long-horizon procedural planning across progressively harder task variants. Generated by thinkingmachines/Inkling-Small… 25 Hugging Face Daily Papers research 1mo ago CoVeR: Coverage-Based Token Pruning for Multi-View 3D Reasoning in VLMs Abstract CoVeR is a training-free spatial token selector that preserves 3D reasoning performance by enforcing exact budgets and full scene coverage across multi-view visual tokens. Generated by thinkingmachines/Inkling-Small Representing a 3D scene as multi-view images allows 2D… 17 Hugging Face Daily Papers research 1mo ago BeaconKV: Key-Value Cache Compression Guided by Beacon Queries for Efficient Large Reasoning Model Inference Abstract BeaconKV improves memory efficiency for long reasoning traces by using compact beacon queries to predict which past key-value pairs will be revisited, reducing cache size without sacrificing accuracy. Generated by thinkingmachines/Inkling-Small Large Reasoning Models… 21 Hugging Face Daily Papers research 1mo ago Reason Through the Latent! Making Latent Visual Reasoning Necessary Abstract CVRR enforces recurrent hidden-state computation as the required image-conditioned pathway for visual reasoning, preserving model competence while distinguishing latent information from actual predictive use. Generated by thinkingmachines/Inkling-Small Latent visual… 35 r/LocalLLaMA community 1mo ago inclusionAI/Ling-3.0-flash-VL · Hugging Face Ling-3.0-flash-VL inherits the language, reasoning, and long-context capabilities of Ling-3.0-flash, while extending them with native image and video understanding. The model has 124B total parameters, with only 5.5B parameters activated per token, and supports a context window… 27 Hugging Face Daily Papers research 1mo ago One Symptom, Three Levers: A Critical Review of On-Policy Self-Distillation Abstract On-policy self-distillation for mathematical reasoning uses privileged information to guide a model without a larger teacher, but suffers from reasoning collapse governed by token weighting, privileged context, and guidance dynamics. Generated by… 19 Hugging Face Daily Papers research 1mo ago FlowBalance: Verifier-Grounded Self-Improvement from On-Policy Reasoning Experience Abstract FlowBalance improves reasoning models via verifier-calibrated self-guidance using trajectory-level score reweighting and profile-based trajectory balance. Generated by thinkingmachines/Inkling-Small A reasoning model can improve from its own on-policy experience, but… 24 r/LocalLLaMA community 1mo ago My Qwen3.8-27B task-aware quant reaches 99% of BF16 reasoning performance at 15% of the size. TL;DR My TAK quant of Qwen 3.8 27b scored 82.81% on reasoning, comparted with 77.34% for the byte matched Unsloth UD IQ2_S and 83.59% for BF16. Over the last few months, I've been exploring task aware quantization. I've now turned that work into a clean, repeatable pipeline… 10 arXiv — Machine Learning research 1mo ago Fractal basins trap latent reasoning arXiv:2609.04963v1 Announce Type: new Abstract: Reasoning allows artificial intelligence models to revisit and correct their mistakes, enabling recent frontier advances in mathematical theorem solving, software engineering, and autonomous task planning. Reasoning models are… 23 arXiv — NLP / Computation & Language research 1mo ago BeaconKV: Key-Value Cache Compression Guided by Beacon Queries for Efficient Large Reasoning Model Inference arXiv:2609.04971v1 Announce Type: cross Abstract: Large Reasoning Models (LRMs) achieve superior problem-solving through extended Chain-of-Thought (CoT) generation, but the resulting key-value (KV) cache grows linearly with sequence length and creates severe memory bottlenecks,… 15 arXiv — Machine Learning research 1mo ago Distill Globally, Adapt Locally: Reasoning Distillation and Product-Type Test-Time Training for Scalable Trade-Up Recommendation arXiv:2609.05363v1 Announce Type: new Abstract: Trade-up recommendation identifies higher-quality alternatives that preserve a customer's purchase intent while offering upgraded benefits. Large language models (LLMs) can reason about such distinctions, but applying them directly… 33 arXiv — NLP / Computation & Language research 1mo ago Shared circuits predict whether LLMs generalize across formats in arithmetic reasoning arXiv:2609.04463v1 Announce Type: new Abstract: In many forms of reasoning, including arithmetic reasoning, generalizing across superficial changes in input format is effortless for humans: anyone who can solve 2+5 can also solve 'two plus five'. In contrast, LLMs are more… 19 arXiv — NLP / Computation & Language research 1mo ago Towards Understanding Pause Token Fine-Tuning Dynamics: A Mode Retention Perspective arXiv:2609.04489v1 Announce Type: new Abstract: Pause-token methods improve LLM reasoning by inserting special tokens into sequences. Prior work explains these gains through computational expressivity. However, there is relatively little investigation into the training dynamics… 25 arXiv — NLP / Computation & Language research 1mo ago PetQA: Benchmarking Veterinary Knowledge and Clinical Reasoning arXiv:2609.04598v1 Announce Type: new Abstract: We introduce PetQA, a Korean long-form question-answering (QA) benchmark for evaluating veterinary knowledge and clinical reasoning in large language models (LLMs) and large vision-language models (LVLMs). PetQA contains 10,076… 5 arXiv — NLP / Computation & Language research 1mo ago Tracing Audio Grounding and Answer Selection in Audio LLMs arXiv:2609.04637v1 Announce Type: new Abstract: Audio Large Language Models (Audio LLMs) have advanced in audio understanding, yet they can still predict the answer by reasoning from textual cues or linguistic priors rather than the provided audio. A common remedy is to train… 33 arXiv — NLP / Computation & Language research 1mo ago ConsensusBench: Benchmark of Consensus Nodes for LLM Reasoning via Outcome Reward Densifying arXiv:2609.04648v1 Announce Type: new Abstract: Reinforcement learning (RL) has become one of the primary paradigms for reasoning enhancement of large language models (LLMs). In particular, Group Relative Policy Optimization (GRPO) and related algorithms have demonstrated strong… 13 arXiv — NLP / Computation & Language research 1mo ago Choosing the Right Language Mode at Inference Time for Multilingual Reliability arXiv:2609.04653v1 Announce Type: new Abstract: Multilingual large language models often struggle to reason in low- to mid-resource languages. Prior work has shown that translation can improve multilingual reasoning by helping models access stronger English-centric… 12 arXiv — NLP / Computation & Language research 1mo ago Beneath the Surface of Chains-of-Thought: A Mechanistic Interpretation of Reasoning Operations in LLMs arXiv:2609.04753v1 Announce Type: new Abstract: Reasoning in large language models unfolds through diverse functional operations, such as problem formulation, goal decomposition, and deduction. Although these operations are explicitly distinguished in text, little is known about… 37 arXiv — NLP / Computation & Language research 1mo ago MMTClinic: Multimodal, Multilingual Time Series Question Answering and Reasoning Benchmark for Clinical Domain arXiv:2609.04842v1 Announce Type: new Abstract: Time-series data in clinical settings is crucial for capturing dynamic changes in a patient's health over time, enabling timely diagnosis, personalized treatment, and early detection of critical events. However, the development of… 27 arXiv — NLP / Computation & Language research 1mo ago Influence Score and Transformers interpretability: Measure of the Effective Impact of Attention Heads at inference time arXiv:2609.05074v1 Announce Type: new Abstract: We propose an influence score to quantify the contribution of attention heads to classification decisions in Transformer-based models designed for prompt injection detection. The score combines directional influence on the logits… 27 arXiv — NLP / Computation & Language research 1mo ago A Verifier-Guided Explainable Reasoning Framework with Gold-Anchored QLoRA, Task-Aware Mixture-of-Experts, and Group-Relative RLVR arXiv:2609.05221v1 Announce Type: new Abstract: Large language models (LLMs) show strong reasoning ability, but their explanations can remain inconsistent, weakly grounded, or difficult to verify. We propose a verifier-guided explainable reasoning framework for transparent… 7 arXiv — NLP / Computation & Language research 1mo ago WearableQA: A Benchmark for Health Reasoning over Real-World Wearable Data arXiv:2609.05405v1 Announce Type: new Abstract: Recent advances in wearable sensing enable continuous monitoring of physiological and behavioral signals, yet existing benchmarks rarely evaluate whether AI systems can reason over a real user's longitudinal wearable record. We… 6 arXiv — NLP / Computation & Language research 1mo ago Extremely Sparse Supervision Incentivizes Reasoning Ability arXiv:2609.04565v1 Announce Type: cross Abstract: Large language models demonstrate increasingly strong reasoning capabilities through effective post-training. Yet, prevailing post-training methods optimize over massive numbers of tokens, implicitly assuming that effective… 27 arXiv — NLP / Computation & Language research 1mo ago Latent-Aligned Reasoning for Multimodal Recommendation arXiv:2609.04645v1 Announce Type: cross Abstract: Multimodal Vision-Language Models (VLMs) have demonstrated remarkable capabilities in cross-modal understanding, yet a fundamental challenge persists when applying them to recommendation: as representations propagate through… 4 arXiv — NLP / Computation & Language research 1mo ago Measuring AI Accountability Through Argumentation Analysis: Can Model Reasoning Withstand Scrutiny? arXiv:2609.05088v1 Announce Type: cross Abstract: AI oversight methods rely on ground truth for validation, but what constitutes appropriate AI behavior is contested. This leaves evaluation of moral reasoning in LLMs and debate-based oversight implicitly avoiding realistic… 17 arXiv — NLP / Computation & Language research 1mo ago Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models arXiv:2503.24377v2 Announce Type: replace Abstract: Recent advancements in Large Language Models (LLMs) have significantly enhanced their ability to perform complex reasoning tasks, transitioning from fast and intuitive thinking (System 1) to slow and deep reasoning (System 2).… 4 r/MachineLearning community 1mo ago Proposed architecture for inferencing sparse MOE models increasing Active parameters using layered + linear decay. Succinct reasoning without any model training or fine tune. [p] I ported MoE expert expansion to llama.cpp 🚀 Run MoE models with MORE routed experts than the native top-K (8->x), adaptive threshold, 99→50% influence decay, layer range. Runtime-only, all backends. Tested on Qwen 3.6 35B A4B+… 18 r/MachineLearning community 1mo ago Applying Sliding Window Attention to pretrained LLMs at inference time [P] I've been working on a practical implementation of Sliding Window Attention (SWA) for pretrained Hugging Face causal LLMs. The idea is simple: instead of allowing every generated token to attend to the complete historical KV cache, maintain a bounded cache consisting of:… 27 r/MachineLearning community 1mo ago GPT-6 reportedly jailbroken within 24 hours using an extended Task-in-Prompt (TIP) attack [N] A researcher has reported a jailbreak of GPT-6 Astra within a day after release. The attack is described as combination of TIP (Task-in-Prompt) attack from ACL 2025 paper with four other unnamed techniques. TIP attacks exploit the model’s reasoning/instruction-following… 17 Simon Willison community 1mo ago The Pelican comparison grid for Astra is pretty interesting I got access to GPT-6 Astra this afternoon, so naturally I used it to generate SVGs of pelicans riding bicycles - at low, medium, high, xhigh and max reasoning levels (Astra doesn't support reasoning=none). Then I rendered those pelicans in a comparison grid with GPT-5.6 Sol,… 12 Hugging Face Daily Papers research 1mo ago VeriPhy: Agentic Physical Reasoning for World Model Evaluation and Refinement Abstract VeriPhy verifies generated video by compiling prompts into typed physical obligations, executing frozen expert analyses with provenance tracking, and mapping evidence to auditable three-valued verdicts. Generated by thinkingmachines/Inkling-Small Visual fluency in… 12 Hugging Face Daily Papers research 1mo ago Locked at the Entrance, Open Inside: Where RLVR Narrows the Solution Space Abstract Reinforcement learning with verifiable rewards narrows reasoning diversity primarily at the initial solution step rather than during execution, and targeted interventions can restore coverage without sacrificing accuracy. Generated by thinkingmachines/Inkling-Small… 23 r/LocalLLaMA community 1mo ago Ling-3.0-flash-VL, built on Ling-3.0-flash with visual understanding and visual agent capabilities It performs well across visual perception, STEM reasoning, document intelligence, multimodal agent tasks, frontend coding, and medical report interpretation.   submitted by   /u/niacolhealth [link]   [comments] 6 Page 8 of 10 · 500 articles ← Newer Older →
