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Showing papers from Tencent AI Lab Show all papers

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MSCR: Jointly Balancing Modality Utilization and Discovering Synergistic Information

Xinyu Chen, Liangjian Wen, Jiang Duan, Dongkai 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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57%Worth a look
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ReGen: Agentic Video World Modeling with Synergized Reasoning and Generation

Chenguo Lin, Yu Tang, Weiqiao Zheng, Enhua Jiang and 10 more

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
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Self-Evolution Reasoner: Continuous Optimization via Policy-Intrinsic Exploration and Exploitation

Wenhang Shi, Yiren Chen, Zhe Zhao, Jinhao Dong 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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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
69%Highly rated
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Safe, or Simply Incapable? Rethinking Safety Evaluation for Phone-Use Agents

Zhengyang Tang, Yi Zhang, Chenxin Li, Xin Lai and 17 more

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

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3/20 AI panelreviewers recommend it

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AI panel: 3 of 20 reviewers recommend it
lenient 2/5
medium 1/10
strict 0/5
57%Worth a look
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AsymPipe: Accelerating Large-scale DiTs Image Editing via Asymmetry-Aware Pipeline Parallelism

Huage Deng, LYU WENKAI, WU YONGJIN, Tianyang Zheng 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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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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AppCIF-Bench: An Application-Level Complex Instruction Following Benchmark for Large Language Models

Jiahao Xu, Xuefang Zhao, Xinhua Feng, Hongrui 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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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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FoldAbS: Repurposing the Protein Folding Model as a Foundation Encoder for Antibody Screening

Jun Wu, FANDI WU, Xinyuan Zhu, Dawei Huang and 4 more

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

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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Collective Supervision for Unified Biomolecular Conformation and Dynamics Modeling with CoDyna

Kaiwen Cheng, FANDI WU, Dawei Huang, Jun Wu 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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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
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Foundation Pareto Flow Policy for Multi-Objective Reinforcement Learning

Zhanjiang Yang, Lijun Sun, Yueming Li, Meng Li 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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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
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Canopy: Tree-Aware Rollout Scheduling for Agent Reinforcement Learning

Feiyuan Zhang, LI Pengbo, Ziniu Li, Yuhao Jiang and 8 more

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

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lenient 0/5
medium 0/10
strict 0/5
67%Highly rated
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ARES: How Reliable Are LLM User Simulators for Recommender A/B Testing?

Hongyang Su, Beibei Kong, Lei Cheng, Chengxiang Zhuo and 2 more

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

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
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No Free Alignment: Observability-Aware Alignment for Multimodal Heterogeneous Learning

Canran Xiao, Puning Zhao, Enneng Yang, XIAOCHUN CAO 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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lenient 0/5
medium 0/10
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57%Worth a look
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MolSpecFlow: Modality-Incomplete Molecular--Spectral Learning for MS/MS

Yu Wang, Fan Yang, Kaikun Xu, Li Hao 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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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
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UGM: Unified Multi-scale Genomic Event Modeling with Site-level Joint Prediction

Jiayang Wu, Chenchen Qin, Xu YANG, Yu Zhao 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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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
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Sparse Updates Generalize Better Than Optimization: Stability Analysis for Randomized Subspace Descent

Yifei Liang, Yan Sun, Yifei Cheng, Haobo Fu and 2 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: 1 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 1/5
57%Worth a look
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Efficient and Robust Physical 3DGS-MPM Simulation via Interior Filling and Text-Physics Optimization

Yikun Ma, Yiqing Li, Jingwen Ye, Zhongkai Wu and 3 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
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HYDRA: Representation Harmonized Tokenization for Multimodal Generation and Understanding

Xuerui Qiu, Yutao Cui, Guozhen Zhang, Junzhe Li 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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lenient 0/5
medium 0/10
strict 0/5
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UniForm: Segment-Aware GRPO for Joint Punctuation Restoration and Inverse Text Normalization

Junhao Gong, Weiwei Li, Rilin Chen

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
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Towards Optimism-Pessimism Trade-off in Model-based Offline-to-Online Reinforcement Learning

Guochen Zhou, Yijun Yang, Qiqi Duan, Qing Su 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
83%Must read
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Reinforcing Multimodal Reasoning Against Visual Degradation

ROMA improves multimodal reasoning robustness to visual corruption via dual-pass RL optimization that avoids reward poisoning while preserving clean accuracy.

Rui Liu, Dian Yu, Haolin Liu, Yucheng Shi and 4 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 5 on Hugging Face

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 0/5
76%Highly rated
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UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling

UniT unifies human and humanoid actions via visual anchoring into shared latent tokens for scalable policy learning and world modeling. It achieves state-of-the-art data efficiency, zero-shot transfer, and cross-embodiment dynamics alignment.

Boyu Chen, Yi Chen, Lu QIU, Jerry Bai and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 32 on Hugging Face · Code ★ 103

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
74%Highly rated
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AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling

AnyMo introduces OmniHuMo dataset with 5,000 hours of multimodal motion data and proposes a masked modeling framework for scalable any-modality conditional motion synthesis with flexible spatial and stylistic control.

Yiheng Li, Zhuo Li, RuiBing Hou, Yingjie Chen and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 1/5
76%Highly rated
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UniPrefill: Universal Long-Context Prefill Acceleration via Block-wise Dynamic Sparsification

UniPrefill accelerates long-context prefill via block-wise dynamic sparsification, achieving up to 2.1x TTFT speedup and seamless vLLM integration.

Qihang Fan, Huaibo Huang, zhiyingwu, Bingning Wang and 1 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026 · ▲ 20 on Hugging Face · Code ★ 46

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5
88%Must read
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RepoMirage: Probing Repository Context Reasoning in Code Agents with Perturbations

RepoMirage evaluates code agents via repository perturbations, revealing severe repository context reasoning gaps and exploration drift, while RepoAnchor improves performance through structure-first scaffolding.

Hanyu Li, Yichi Zhang, Speed Zhu, Hang Su and 2 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: 15 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 1/5
71%Highly rated
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FaithfulFaces: Pose-Faithful Facial Identity Preservation for Text-to-Video Generation

FaithfulFaces improves identity-preserving video generation via pose-shared identity alignment and achieves state-of-the-art consistency across pose changes and occlusions.

Yuanzhi Wang, Xuhua Ren, Jiaxiang Cheng, bing ma and 6 more

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

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AI panel: 7 of 20 reviewers recommend it
lenient 5/5
medium 2/10
strict 0/5
88%Must read
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OpenSearch-VL: An Open Recipe for Frontier Multimodal Search Agents

OpenSearch-VL introduces an open-source recipe training multimodal deep search agents via curated data, diverse tools, and multi-turn fatal-aware GRPO, achieving over 10-point benchmark gains comparable to proprietary models.

Shuang Chen, Kaituo Feng, Hangting Chen, Wenxuan Huang and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 57 on Hugging Face · Code ★ 289

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5
83%Must read
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CM2: Reinforcement Learning with Checklist Rewards for Multi-Turn and Multi-Step Agentic Tool Use

CM2 replaces verifiable outcome rewards with checklist rewards for multi-turn tool-use RL, improving 8B models by 8, 12 points on agent benchmarks using simulated environments.

Zhen Zhang, Kaiqiang Song, Sean Wang, Yebowen Hu and 10 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5
83%Must read
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Agent2World: Learning to Generate Symbolic World Models via Adaptive Multi-Agent Feedback

Agent2World uses adaptive multi-agent feedback to generate symbolic world models, achieving state-of-the-art inference and 30.95% fine-tuning gains.

Mengkang Hu, Bowei Xia, Yuran Wu, Ailing Yu and 8 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face · Code ★ 26

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5
86%Must read
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PAMod: Modeling Cyclical Shifts via Phase-Amplitude Modulation for Non-stationary Time Series Forecasting

PAMod models cyclical non-stationary shifts via phase-amplitude modulation in normalized space to achieve state-of-the-art forecasting with lower cost and broad plug-and-play gains.

Yingbo Zhou, Yutong Ye, Shuhao Li, Rui Qian and 4 more

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

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
74%Highly rated
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From Denoising to Refining: A Corrective Framework for Vision-Language Diffusion Model

ReDiff reframes vision-language diffusion as active refining via error-correction training and online self-correction loops, breaking error cascades to improve coherence, factual accuracy, and parallel generation.

Yatai Ji, Teng Wang, Yuying Ge, Zhiheng Liu and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 30 on Hugging Face · Code ★ 45

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 0/5
86%Must read
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Unify-Agent: A Unified Multimodal Agent for World-Grounded Image Synthesis

Unify-Agent reframes image synthesis as an agent pipeline with search and recaptioning, improving generation of long-tail factual concepts via 143K curated trajectories.

Shuang Chen, Quanxin Shou, Hangting Chen, Yucheng Zhou and 11 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 44 on Hugging Face · Code ★ 93

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
83%Must read
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Detecting RLVR Training Data via Structural Convergence of Reasoning

RLVR training causes reasoning outputs to structurally converge on seen prompts, and Min-kNN Distance detects this collapse via black-box sampling to identify contamination.

Hongbo Zhang, Leyang Cui, Jianhao Yan, Guangsheng Bao and 3 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026 · ▲ 2 on Hugging Face · Code ★ 8

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5