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ACL 2025TianjinPing AnTübingen AI CenterU TübingenKunming University of Science anLLM agents & planning

ChatSOP: An SOP-Guided MCTS Planning Framework for Controllable LLM Dialogue Agents

ChatSOP introduces an SOP-guided MCTS framework that improves LLM dialogue agents' controllability and task success by following structured operational procedures.

Zhigen Li, Jianxiang Peng, Yanmeng Wang, Yong Cao and 12 more

Published 2025 · 3 citations

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NeurIPS 2026Shanghai JiaotongTianjinAlibaba GroupAMAP, Alibaba GroupMeituanText-to-image

Breaking the Static: Dynamic Text Conditioning for Diverse Image Generation

Meng Yu, Ruidong Chen, qingfeng shi, Yingmao Miao and 5 more

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

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NeurIPS 2026TianjinJilin University, ChinaBeijing University of Posts and Spatio-temporal forecasting

Learning Continuously Evolving Spatio-Temporal Explanations for Traffic Flow Forecasting

Cuiying Huo, Baoxu Wang, Lin Wu, Yu Mei and 3 more

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

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NeurIPS 2026TianjinHebei University of TechnologyJilin University, ChinaGraph neural networks

Adaptive Attribute Completion with Representation Space for Incomplete Graph Domain Adaptation

Niya Yang, Di Jin, Zhizhi Yu, Liang Yang and 3 more

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

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NeurIPS 2026NankaiTianjinFederated learning

Confounding-Aware Client Selection in Federated Learning via Causal Mediation Analysis

Xiaoyang Yi, Yuru Bao, Rihao Chang, Binhan Yang and 1 more

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

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NeurIPS 2026SpotlightTianjinXidianTianjin University, ChinaNavigation & SLAM

All Roads Lead to Rome: Flow-driven Multi-Anchor Exploration for Open-Environment Active 3D Mapping

Yang Li, Aming WU, Zihao Zhang, Ziju Han and 2 more

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

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NeurIPS 2026TianjinDynamic graphs

DASM: Dynamic Autoregressive Subgraph Mining via Two-Stage Policy Alignment

Yuming Huang, Haoran Yin, Wu

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

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NeurIPS 2026TianjinTsinghua University, TsinghuaTsinghuaKyotoOptimization

Reliable Clustering and Quantization via Distortion-Constrained Optimal Transport

Tianhao Wu, Wei Zhang, Haoran Pang, Haoran YANG and 1 more

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

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NeurIPS 2026SpotlightTsinghuaTianjinTsinghua University, TsinghuaLLM agents & planning

Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Tianyuan Yuan, Zibin Dong, Yicheng Liu, Hang Zhao

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

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NeurIPS 2026U Science and Technology of ChinHarbin EngineeringTianjinQuantization

ADKV: A Low-Overhead Adaptive Delta Quantization for KV Cache in LLM Inference

Honghao Jia, Zhenxing Li, Jialiang Guo, Jiacheng Gan

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

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NeurIPS 2026Shandong University; infecShandongTianjinHong Kong PolytechnicChina University of PetroleumTime series forecasting

IMTS-Tokenizer: Time-Aware Tokenization for Irregular Multivariate Time Series Forecasting

Bin Xu, Yinghua Li, Linqi Han, Xiaoyu Li 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 2026TianjinMontreal Institute for Learning ShanxiDeep RL

What Kind of Diffusion Models Do We Need in Online Reinforcement Learning?

Zihao Wu, Hongyao Tang, Yi Ma, YAN ZHENG and 2 more

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

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NeurIPS 2026National University of Singaporenational university of singaore,TianjinCode generation

The Locality Cost of Semantic Patch Self-Distillation

Xi Weng, Zhaoyu Liu, lianyu hu, Jin Song Dong

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

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NeurIPS 2026Lenovo ResearchJiangnanLenovo Group LimitedTianjinTsinghua University, TsinghuaLLM agents & planning

Lemon: Evidence-Risk-Aware Adaptive Organization for Long-Horizon LLM Agents

Zimo Yin, Haipeng Jiang, Kailong Ren, Zhetao Sun and 7 more

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

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NeurIPS 2026TianjinBeijing JiaotongKnowledge graphs

Foresight-over-Graph: Reasoning Beyond Local Horizons for Knowledge Base Question Answering

Yang Hong, Yang Yajun, Xin Wang, Liping Jing and 1 more

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

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NeurIPS 2026TianjinU LiverpoolQuantization

RankVQ: Low-Rank Parameterized Commutative Vector Quantization for KV Cache Compression

Jianglin Zhou, Huaming Wu, Huijun Tang

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

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NeurIPS 2026U Science and Technology of ChinHuawei Technologies Ltd.TianjinHuawei Noah's Ark LabRL for LLMs

Efficient Gradient-Aware Asynchronous Reinforcement Learning for LLM Post-Training

Songhan Yang, Jie Wang, Yinqi Bai, Tong Xialiang and 3 more

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

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NeurIPS 2026Tianjin University CitShenzhen University of Advanced TianjinVision-language models

BoxTuning: Object-Aware Visual Prompting for Multimodal Model Fine-Tuning

Zekun Qian, Ruize Han, Wei Feng

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

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NeurIPS 2026U Science and Technology of ChinNoah's Ark Lab, Huawei TechChinese Academy SciencesThe Chinese University of Hong KTianjinLLM reasoning & chain of thought

SteadyThought: Mitigating LLM Under-Thinking via Thought-Level Preference Optimization

Zhenyue Peng, Lin Yang, Jie Wang, Xiaoqi Ni 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 2026Beijing Institute of TechnologyTsinghuaHunancomputer science, TsinghuaInstitute of Microelectronics ofTime series foundation models

Observations Drift, Structures Remain: Structural Pretraining with Time Alignment for Electromagnetic Signals

Wenjin Gui, Junyu Shen, Haibo Xu, Yuchuang Sun 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 2026TianjinTsinghua University, TsinghuaXi'an JiaotongSelf-supervised vision

SICAF: Time-Varying Focus Bottleneck for Self-Supervised Event-Based Optical Flow with Spiking Neural Network

Shuangming Yang, Qing He, Shangqi Guo, Badong Chen

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

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NeurIPS 2026TianjinU MacauMacau University of Science and Institute of automation, ChineseZhejiangMulti-agent LLM systems

LocalAgent: Collaborative Agentic Verification for Fine-Grained Instance-Level Consistency

jiachen Guo, Xinshan Zhu, Boyun Wang, Yanyan Liang and 3 more

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

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NeurIPS 2026BeihangTianjinZhejiangBeihangMaterials & chemistry

AET-Bench: Pixel-Accurate Atomic Tomography Is Not Atom-Accurate

Zicheng Liu, Wenzhuo Ma, Jintao Chen, Di Huang

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

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NeurIPS 2026TianjinHebei University of TechnologyJilin University, ChinaImage recognition

FC-DGCN: Deep Graph Convolutional Network for Face Clustering and Recognition

Ling Ding, Di Jin, Zhizhi Yu, Liang Yang and 1 more

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

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NeurIPS 2026TianjinMontreal Institute for Learning ShanxiAlignment & preference optimization

Beyond Correctness: Robustness-Driven Evolutionary Self-Training for Large Language Models

Wei Guo, Hongyao Tang, Yi Ma, Jinyi Liu and 5 more

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

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NeurIPS 2026Imperial College LondonKing's College London, UnivTianjinU WarwickRobot manipulation

PACE: Progress Actively-internalized Conditioning Execution for Long-horizon Manipulation

Fei Ni, Zhuo Chen, Xianze Yao, Zerui Chen 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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NeurIPS 2026ZGCAZhongguancun AcademyTianjinCity University of HongKongParameter-efficient fine-tuning

Riemannian Optimization for Low-Rank Adaptation via Desingularization

Tiancan Feng, Daorui Ding, Fanhua Shang, Xiaoyuan Zhang

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

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NeurIPS 2026Hong Kong University of Science Hong Kong University of Science ZhejiangTianjinMontreal Institute for Learning RL for LLMs

Reformulate LLM Reinforcement Learning for Stable Training under Black-box Discrepancy

Jiashun Liu, Runze Liu, Xu Wan, Jing Liang and 2 more

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

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NeurIPS 2026TianjinMontreal Institute for Learning ShanxiZhejiangLLM evaluation & benchmarks

Does Your Large Language Model Have An Intuitive Sense of The Difficulty of A Question?

Ruitao Wang, Jinyi Liu, Hongyao Tang, Rong Cheng and 8 more

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

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NeurIPS 2026U the Chinese Academy of ScienceTianjinComputer Network Information CenU Chinese Academy of SciencesInstruction tuning

DRIVE: Fine-tuning via Data Contribution- and Diversity-aware Weighting with Prior Regularization

qing liu, Xinrui Chen, Weiyao Zhu, Yi Du and 1 more

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

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NeurIPS 2026TianjinChongqingTest-time compute

STDec: Spatio-Temporal Stability Guided Decoding for dLLMs

STDec improves dLLM decoding speed via spatial and temporal stability-guided adaptive thresholds without training, achieving up to 14.17x speedup.

Yuzhe Chen, Jiale Cao, Xuyang Liu, Jin Xie and 2 more

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

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74%Highly rated
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NeurIPS 2026TianjinMontreal Institute for Learning ShanxiAlibaba GroupAlibaba Inc.RL for LLMs

The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning

LLM RL suffers from training-inference policy mismatch; MIPU optimizes monotonic inference policy improvement to stabilize training and boost reasoning performance.

Jing Liang, Hongyao Tang, Yi Ma, Yancheng He and 7 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 51 on Hugging Face

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NeurIPS 2026TsinghuaJD.comTsinghua University, TsinghuaBeijing Institute of TechnologyTianjinVision-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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NeurIPS 2026Chongqing Afari Intelligent DrivTianjinU MacauChongqing Afari TechnologyMegvii Technology Inc.Embodied agents

ChainFlow-VLA: Causal Flow Planning with Vision-Language Models

ChainFlow-VLA unifies causal trajectory generation and global diffusion refinement via vision-language-conditioned residual distributions, scoring 94.85 on NAVSIM v1.

Xiyang Wang, Xinlin Wang, Tingguang Zhou, Gong Chen and 6 more

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

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NeurIPS 2026Li Auto Inc.Hong Kong PolytechnicAutonomous Driving, Li Auto Inc.TianjinLiAutoEmbodied agents

ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving

ReflectDrive-2 is a discrete diffusion planner that uses reinforcement learning to train self-editing trajectory tokens, boosting NAVSIM PDMS to 91.0 with 31.8 ms latency.

Huimin Wang, Yue Wang, Bihao Cui, Pengxiang Li and 6 more

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

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lenient 4/5
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NeurIPS 2026TongjiThe Chinese University of Hong KInstitute of automation, ChineseTianjinInner MongoliaRL for LLMs

AffectGPT-RL: Revealing Roles of Reinforcement Learning in Open-Vocabulary Emotion Recognition

AffectGPT-RL applies reinforcement learning to open-vocabulary emotion recognition, improving performance by optimizing non-differentiable metrics and enabling reasoning.

Zheng Lian, Fan Zhang, Lan Chen, Yazhou Zhang and 7 more

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

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lenient 4/5
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76%Highly rated
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NeurIPS 2026Institute of automation, ChineseGigaAIPekingByteDance Inc.TianjinLong-context modeling

LinearARD: Linear-Memory Attention Distillation for RoPE Restoration

LinearARD restores RoPE-scaled LLMs via linear-memory attention self-distillation, recovering 98.3% short-text performance with 4.25M tokens versus 256M.

Ning Yang, Hengyu Zhong, Wentao Wang, Baoliang Tian and 3 more

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

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NeurIPS 2026TianjinMontreal Institute for Learning Shanghai JiaotongHuawei Technologies Ltd.Nanyang TechnologicalRobot manipulation

ForceFlow: Learning to Feel and Act via Contact-Driven Flow Matching

ForceFlow uses force-aware flow matching with asymmetric multimodal fusion and vision-to-force handover to achieve robust contact-rich manipulation with 37% higher success and stronger zero-shot generalization.

Shuoheng Zhang, Yifu Yuan, Hongyao Tang, YAN ZHENG and 6 more

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

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NeurIPS 2026Nanjingnanjing universityElectronic Arts CanadaZhejiang Sci-TechHuawei Technologies Ltd.Agent memory

Linguistic Trajectory Encoding for Efficient Long-Horizon Spatial Memory in Embodied Agents

Linguistic Trajectory Encoding compresses long-horizon object motion into hybrid language-spatial-visual timelines, outperforming baselines on multi-day spatial memory benchmarks with high compression and sub-second queries.

Xie Tianyidan, Shenyi Wang, Qiang Tang, Mingjie Wang and 6 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026U the Chinese Academy of ScienceTianjinU Chinese Academy of SciencesInstruction tuning

One Algorithm, Two Goals: Dual Scoring for Parameter and Data Selection in LLM Fine-Tuning

A shared gradient-interaction scoring rule unifies parameter and data selection for LLM fine-tuning via DualSFT, improving joint efficiency and trade-offs.

Xinrui Chen, Liu Yang, Ou Wu

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

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