TOPIC · REASONING · 28 PAPERS

Reasoning

LLMs Reasoning Alignment Agents Multimodal Visual generation Vision & 3D Robotics & embodied AI Efficient training & inference Safety & interpretability AI for Science Code & SWE Benchmarks & data Reinforcement learning

Last 30 days 28

#13 ▲417 ★261 ❝0 2026-09-29

LoopVL: Recurrent Visual Intelligence

LoopVL brings looped (recurrent) Transformers to vision-language models, iteratively refining a shared vision-language state.

Renmin University of China · Zhe Qian, Ziyang Gong, Zhongxing Xu +13

Multimodal Reasoning arXiv Code HF

#30 ▲602 ★7 ❝0 2026-10-14

LEV: Thinking Fast and Deep with Looped Decision Models

LEV lets decision models think deeper by looping their layers instead of generating reasoning tokens.

Affiliation unverified · Dingjie Song, Zhiling Yan, Yuxuan Zhang +1

Reasoning Efficient training & inference arXiv Code HF

#36 ▲224 ★47 ❝0 2026-09-28

Rethinking Latent Visual Reasoning: Grounding Latent Reasoning in Visual Evidence

Shows latent visual reasoning tokens barely respond to image evidence and proposes grounding them in visual evidence during training.

Amazon · Xi Xiao, Tianchen Zhao, Youngeun Kim +10

Reasoning Multimodal arXiv Code HF

#40 ▲167 ★97 ❝0 2026-09-23

Training Object Permanence in World Models

Builds 150 cognitive-science tasks to test and train object permanence in video world models.

Carnegie Mellon University · Haotian Zhang, Fengyuan Yu, Dezhi Luo +28

Visual generation Reasoning arXiv Code HF

#43 ▲241 ★9 ❝0 2026-10-08

Thinking Inertia: LLMs Keep Thinking When Told Not To

Shows LLMs keep reasoning even when told not to think, and proposes a three-level way to measure no-thinking behaviour.

Stanford University · Dianqiao Lei, Kevin Qinghong Lin, Pan Lu +2

Reasoning LLMs arXiv Code HF

#77 ▲205 ❝1 2026-09-28

On-Policy or Off-Policy Learning? A Systematic Study of Distillation Dynamics

A controlled study isolating on- vs off-policy rollouts in distillation, finding a more nuanced picture than 'on-policy is always better'.

University of Cambridge · Julianna Piskorz, Antonin Berthon, Mihaela van der Schaar

Efficient training & inference Reasoning arXiv HF

#84 ▲62 ★102 ❝1 2026-09-28

Improving Test-Time Scaling with Adaptive Looped Transformers

Studies looped transformers under test-time scaling and proposes adaptive looping to beat baselines at matched compute.

Tsinghua-NICS-EFC · Yichen You, Tianyu Fu, Aosong Feng +4

Reasoning Efficient training & inference arXiv Code HF

#99 ▲206 ★6 ❝0 2026-10-13

RoTA-Bench: Evaluating 3D Spatial Reasoning through Interactive Projection Alignment

RoTA-Bench evaluates VLMs' 3D spatial reasoning by having them rotate objects to match target silhouettes interactively.

MAC-AutoML · Qingchuan Ma, Yuexiao Ma, Xiang Meng +7

Multimodal Benchmarks & data Reasoning arXiv Code HF

#110 ▲78 ★38 ❝2 2026-09-29

Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before Answering

Imagine3D-LLM teaches MLLMs to imagine a 3D scene before answering multi-view spatial questions.

KAIST AI · Jaewoo Jung, Hyeonseo Yu, Honggyu An +10

Multimodal Reasoning arXiv Code HF

#112 ▲63 ★75 ❝0 2026-10-01

VeriHarness: Scaling Agentic Verification for Long-Horizon Tasks

VeriHarness turns the base model into a verification agent that uses disagreement across samples to decide which claims to trust.

Google · Caiqi Zhang, Rujun Han, Zifeng Wang +4

Agents Reasoning arXiv Code HF

#118 ▲32 ★945 ❝0 2026-10-06

Recurrent Looped Transformer

The Recurrent Looped Transformer lets compute depth grow with sequence length, generalising tasks like parity far beyond training length.

Princeton University · Yifan Zhang, Jichen Feng, Shihan Qin +2

LLMs Reasoning arXiv Code HF

#123 ▲38 ★386 ❝0 2026-10-13

Hybrid Reasoning Agents

Hybrid Reasoning Agents switch dynamically between latent reasoning and text interaction, combining efficiency with tool access.

Stanford University · Jiaru Zou, Yunzhe Qi, Sirui Chen +5

Reasoning Agents arXiv Code HF

#142 ▲72 ★104 ❝0 2026-10-01

Rethinking World-Action Model for Compositional and In-Context Robotic Manipulation

ViGAR splits long-horizon manipulation into a visual subgoal planner and a subgoal executor for compositional, in-context robot tasks.

DAGroup-PKU · Shukai Gong, Xuanran Zhai, Yintianrun Zhang +16

Robotics & embodied AI Reasoning arXiv Code HF

#151 ▲96 ★21 ❝0 2026-10-12

TPPO: Tracking-Value PPO For Language Model Reasoning

TPPO uses a cumulative value parameterisation to track value along the trajectory, improving token-level credit in PPO for reasoning.

Affiliation unverified · Futing Wang, Chenxi Li, Jianhao Yan +6

Reinforcement learning Reasoning arXiv Code HF

#152 ▲64 ★90 ❝0 2026-09-19

Spatial-Interactor: Learning Spatial Reasoning through Interaction with the Observable Physical World

Spatial-Interactor trains VLM spatial reasoning on observation-action-observation interaction trajectories.

ZJU-OmniAI · Kaixiang Yao, Xu Wang, Miao Pan +10

Multimodal Reasoning arXiv Code HF

#180 ▲51 ★112 ❝0 2026-09-30

Does Learning Protein Folding Generalize to Broader Reasoning?

Asks whether learning protein folding teaches LLMs reusable spatial and structural reasoning.

Shanghai JiaoTong University · Yong Liu, Zhanpeng Shi, Yizhou Dang +4

AI for Science Reasoning arXiv Code HF

#186 ▲94 ★12 ❝0 2026-10-20

S-Agent 2.0: Spatial Reasoning with a General Coding Agent

S-Agent 2.0 equips a general coding agent with command-line 3D perception tools and scene memory, lifting spatial-reasoning benchmarks.

Ropedia · Rui Gong, Ruoyu Wang, Yalun Dai +9

Agents Reasoning arXiv Code HF

#190 ▲175 ❝0 2026-10-15

Learning to Think and Explore in 3D World

Trains VLMs with RL to reason and actively move their viewpoint in 3D, seeing one image at a time like a human.

University of California at San Diego · Yijiang Li, Bingyang Wang, Nuno Vasconcelos

Multimodal Reinforcement learning Reasoning arXiv HF

#209 ▲145 ❝0 2026-10-05

VepAgent: Bridging Causal-Transition via Tool-Augmented Reinforcement Learning for Video Event Prediction

VepAgent combines causal-transition reasoning with tool-augmented RL for video event prediction.

UCSC-VLAA · Qiutong Chen, Yuchan Guo, Zhenlong Yuan +10

Multimodal Reinforcement learning Reasoning arXiv HF

#211 ▲24 ★1.1k ❝0 2026-10-12

StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions

StartLux-Decision models (0.8B–27B) answer confident cases directly and reason only when uncertain, with RL that rewards calibrated decision probabilities.

StartLux · Xialie Zhuang, Zunhai Su, Jia Pan +3

Reasoning Reinforcement learning arXiv Code HF

#214 ▲148 ❝0 2026-10-20

PAR: Progress-Aligned Recurrence for Length Generalization in State Tracking

PAR aligns each loop iteration of a looped LM with task progress and anchors state norms, extrapolating state tracking to 16x training length.

ant-international · Pan Wang, Yihao Hu, Guangyuan Dong +8

LLMs Reasoning arXiv HF

#220 ▲91 ★4 ❝0 2026-10-14

Recovering Reliable Supervision via Critique-Guided On-Policy Distillation

CriticOPD has the teacher critique wrong student rollouts before rewriting, restoring reliable supervision in on-policy distillation.

Affiliation unverified · Kaixiang Zhao, Tianrun Yu, Shangzhe Li +4

Efficient training & inference Reasoning arXiv Code HF

#228 ▲75 ★11 ❝0 2026-09-30

EgoTools: Towards Tool-Centric Reasoning in Real-World Egocentric Videos

EgoTools targets tool-centric reasoning in real egocentric videos, covering hand-tool-object relations and procedures.

Ropedia · Shulin Tian, Junsu Kim, Shuai Liu +17

Multimodal Reasoning Benchmarks & data arXiv Code HF

#262 ▲79 ❝0 2026-10-12

X-Ragent: Tool-Augmented Reinforcement Learning for Evidence-Grounded Chest X-Ray Reasoning

X-Ragent uses tool-augmented RL for chest X-ray reasoning, learning when to call auxiliary evidence and when to ignore it.

Carnegie Mellon University · Yi Wang, Zhenlong Yuan, Yuchan Guo +9

Reinforcement learning Reasoning AI for Science arXiv HF

#272 ▲38 ★10 ❝0 2026-10-01

Selection-Based Structured Reasoning: Toward Efficient Multimodal Search Agents

SSR has small models select from predefined reasoning candidates instead of free generation, cutting cost for multimodal search agents.

Carnegie Mellon University · Feiyu Gavin Zhu, Xiaoyu Zhu, Jiqi Yang +9

Reasoning Efficient training & inference Agents arXiv Code HF

#276 ▲69 ❝1 2026-09-30

PhysVista: Benchmarking Physical Intelligence in VLMs via a Perception-Reasoning-Assessment Loop

PhysVista evaluates VLMs' physical intelligence through a perception-reasoning-assessment loop.

university of science and technology of china · Xinge Peng, Yiting Lu, Tianwu Zhi +4

Multimodal Benchmarks & data Reasoning arXiv HF

#277 ▲29 ★19 ❝0 2026-10-13

Open-o3-Video-v2: Seek, Ground, and Reason with Verifiable Spatio-Temporal Evidence

Open-o3-Video-v2 actively gathers more frames and writes timestamps and boxes into its reasoning as verifiable evidence.

Peking University · Jiahao Meng, Zhongyuan Bao, Yue Tan +7

Multimodal Reasoning Agents arXiv Code HF

#279 ▲85 ❝0 2026-10-03

Questioning the Questions: Sustaining Self-Evolution in Reasoning Models

Analyses why self-evolving reasoning models collapse (invalid and repeated questions) and proposes question-quality controls.

Huang's INTelligence lab · Jinyuan Li, Chengsong Huang, Langlin Huang +4

Reasoning Reinforcement learning arXiv HF

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