Good Papers: read the good ones

Event Cascade Pruning uses event-camera motion cues to prune video tokens in first-person spatial reasoning, improving accuracy by 1.31 points with 80% fewer tokens and 1.89x speedup.

Pengtao Ma, Ziliang Zhou, Ciyu Ruan, Haoyang Wang and 6 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026The University of Tokyo Tsinghua University, Tsinghua Tsinghua Alignment & preference optimization

Alignment Dynamics in LLM Fine-Tuning

A unified framework decomposes LLM alignment dynamics into competing rebound and driving forces, explaining reversal and faster re-alignment via rehearsal priming.

Yuhan Huang, Huanran Chen, Yinpeng Dong

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 5/5

medium 7/10

strict 3/5

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NeurIPS 2026Tsinghua Tsinghua University, Tsinghua Graphs & LLMs

A Unified Graph Language Model for Multi-Domain Multi-Task Graph Alignment Instruction Tuning

UniGraphLM proposes a unified graph language model that multi-domain multi-task aligns GNN representations to LLMs via adaptive alignment for cross-domain generalization.

Haibo Chen, Xin Wang, Jiaheng Chao, Ling Feng and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Tsinghua Li Auto Inc.JD.com Horizon Robotics Tsinghua University, Tsinghua Deep RL

CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies

CRAFT combines dense counterfactual advantages with grounded residual corrections to reduce variance and bias in closed-loop autonomous driving fine-tuning, achieving strong Bench2Drive gains.

Keyu Chen, Nanfei Ye, Yida Wang, Wenchao Sun and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 14 of 20 reviewers recommend it

lenient 3/5

medium 10/10

strict 1/5

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NeurIPS 2026Tsinghua Tsinghua-Berkeley Shenzhen Insti Peking Zhejiang University of Technolog Tsinghua University, Tsinghua Multimodal reasoning

CAVE: A Structured Credit Assignment Approach for Fragmented Visual Evidence Reasoning

CAVE uses structured process rewards to improve vision-language models' integration of nonlocal visual evidence, boosting fragmented reasoning benchmarks.

Tengda Guo, Jie Leng, Hanlei Li, Yaoyuan Liang and 5 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 4/5

medium 6/10

strict 0/5

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NeurIPS 2026Tsinghua University, Tsinghua Hunan Dalian Martime The Chinese University of Hong K Tsinghua Unified multimodal models

DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization

DCVD jointly detects vulnerable functions and localizes vulnerable statements via dual-channel cross-modal fusion with explicit multi-granularity supervision, outperforming state-of-the-art baselines.

Wenxin Tang, Wenbin Li, Junliang Liu, Jingyu Xiao and 9 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Tsinghua JD.com Tsinghua University, Tsinghua Beijing Institute of Technology Tianjin Vision-language models

MM-IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-Level Issue Localization

MM-IssueLoc benchmarks multimodal repository-level issue localization using visual evidence across 652 instances, showing current systems achieve under 39% file accuracy and text-only scores do not transfer.

Shaoxiong Zhan, Shi Hu, Hai Lin, BoyuFeng and 6 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 17 of 20 reviewers recommend it

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NeurIPS 2026Wuhan Harbin Institute of Technology, Tsinghua University, Tsinghua Tsinghua Alignment & preference optimization

Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy

Deriving an alignment imprint from LLM preference tuning, LAPD detects AI-generated text with 45.82% relative gains over baselines via statistically guaranteed preference discrepancy.

Junxi Wu, Kailin Huang, Dongjian Hu, Bin Chen and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026SUN YAT-SEN UNIVERSITY Chinese University of Hong Kong The Chinese University of Hong K Nanjing University of Aeronautic Southwest Jiaotong Multimodal reasoning

AgroOmni: A Large-Scale Multi-view Agricultural Dataset for Cross-Scale Multimodal Reasoning

AgroOmni introduces 288K multi-view agricultural VQA pairs across scales, and AgroNVILA achieves state-of-the-art 62.32% on AgroMind while demonstrating strong cross-scale generalization.

Jiarui Zhang, Junqi Hu, Zurong Mai, Yang Liu and 9 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Toronto Tsinghua The Chinese University of Hong K Tsinghua University, Tsinghua GigaAI Embodied agents

DriveDreamer-Policy: A Geometry-Grounded World-Action Model for Unified Generation and Planning

DriveDreamer-Policy unifies depth generation, video prediction, and motion planning via geometry-aware world representations, achieving 89.2 PDMS on Navsim v1 and 88.7 EPDMS on v2.

Yang Zhou, Xiaofeng Wang, Hao Shao, Letian Wang and 7 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face · Code ★ 60

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AI panel: 12 of 20 reviewers recommend it

lenient 5/5

medium 7/10

strict 0/5

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NeurIPS 2026McGill Northeastern Imperial College London King's College London, Univ Tsinghua Robot manipulation

MyoChallenge 2025: A New Benchmark for Human Athletic Intelligence

MyoChallenge 2025 benchmarks musculoskeletal sports control via simulated table tennis and soccer tasks, advancing agile motor algorithms across 70 teams.

Cheryl Wang, Chun Kwang Tan, Balint Hodossy, Shirui Lyu and 20 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Tsinghua University, Tsinghua Department of Industrial Enginee Tsinghua Huawei Technologies Ltd.Datadog Anomaly detection

VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection

VETime unifies temporal and visual modalities via fine-grained alignment and dynamic fusion for zero-shot time-series anomaly detection, outperforming state-of-the-art models with lower overhead.

Yingyuan Yang, Tian Lan, Yifei Gao, Yimeng Lu and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 10 of 20 reviewers recommend it

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NeurIPS 2026Tsinghua Department of Automation, Tsingh Tsinghua University, Tsinghua U Maryland, College Park Independent Researcher RL for LLMs

Listwise Policy Optimization: Group-based RLVR as Target-Projection on the LLM Response Simplex

Listwise Policy Optimization explicitly projects policies onto target distributions over response simplices via divergence minimization, improving reasoning performance and stability over group-based policy gradients.

Yun Qu, Qi Wang, Yixiu Mao, Heming Zou and 10 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 67 on Hugging Face

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lenient 2/5

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78%Highly rated

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NeurIPS 2026Independent Gradient Network U Science and Technology of Chin Tsinghua University, Tsinghua U Edinburgh, University of Edinb RL for LLMs

ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning

ECHO-2 is a distributed RL framework that overlaps rollout generation, dissemination, and training with bounded policy staleness to improve cost efficiency while preserving rewards.

Jingwei Song, Meng Chen, Jie Xiao, Qingnan Ren and 14 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 13 on Hugging Face

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NeurIPS 2026The Hong Kong University of Scie Alibaba Group Renmin University of China The Chinese University of Hong K Peking LLM agents & planning

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents

A visual-native harness with an image bank and on-policy data evolution improves multimodal deep search agents, raising Qwen3-VL-8B to 39.0% average and surpassing Gemini-2.5 Pro.

Shijue Huang, Hangyu Guo, Guanting Dong, Chenxin Li and 7 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 21 on Hugging Face · Code ★ 30

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