papers

Publications (27)

cs.LG2026

LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety

Junxiao Yang, Haoran Liu, Jinzhe Tu +9

cs.IT2020

The Capacity of Symmetric Private Information Retrieval under Arbitrary Collusion and Eavesdropping Patterns

Jiale Cheng, Nan Liu, Wei Kang

cs.AI2024

LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models

Jiayi Gui, Yiming Liu, Jiale Cheng +6

cs.CV2026

VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation

Jiazheng Xu, Yu Huang, Jiale Cheng +19

cs.CV2026

GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents

V Team, Wenyi Hong, Xiaotao Gu +94

cs.HC2025

When Teams Embrace AI: Human Collaboration Strategies in Generative Prompting in a Creative Design Task

Yuanning Han, Ziyi Qiu, Jiale Cheng +1

cs.CL2024

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Team GLM, :, Aohan Zeng +56

cs.CL2024

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation

Pei Ke, Bosi Wen, Zhuoer Feng +9

cs.IT2022

On the Asymptotic Capacity of Information Theoretical Privacy-preserving Epidemiological Data Collection

Jiale Cheng, Nan Liu, Wei Kang

cs.CL2023

PAL: Persona-Augmented Emotional Support Conversation Generation

Jiale Cheng, Sahand Sabour, Hao Sun +2

cs.CV2026

UI2Code^N: UI-to-Code Generation as Interactive Visual Optimization

Zhen Yang, Wenyi Hong, Mingde Xu +5

cs.CL2023

Safety Assessment of Chinese Large Language Models

Hao Sun, Zhexin Zhang, Jiawen Deng +2

cs.CV2026

GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

V Team, Wenyi Hong, Wenmeng Yu +90

cs.CL2024

AlignBench: Benchmarking Chinese Alignment of Large Language Models

Xiao Liu, Xuanyu Lei, Shengyuan Wang +15

cs.CV2025

VPO: Aligning Text-to-Video Generation Models with Prompt Optimization

Jiale Cheng, Ruiliang Lyu, Xiaotao Gu +9

cs.CL2022

On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark

Hao Sun, Guangxuan Xu, Jiawen Deng +6

cs.LG2026

Data-Efficient RLVR via Off-Policy Influence Guidance

Erle Zhu, Dazhi Jiang, Yuan Wang +8

cs.CL2025

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models

Jiale Cheng, Xiao Liu, Cunxiang Wang +7

cs.CL2025

LongSafety: Evaluating Long-Context Safety of Large Language Models

Yida Lu, Jiale Cheng, Zhexin Zhang +7

cs.IT2025

Capacity of Hierarchical Secure Coded Gradient Aggregation with Straggling Communication Links

Qinyi Lu, Jiale Cheng, Wei Kang +1

cs.AI2023

Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements

Jiawen Deng, Jiale Cheng, Hao Sun +2

cs.CL2025

Training Language Model to Critique for Better Refinement

Tianshu Yu, Chao Xiang, Mingchuan Yang +8

cs.CL2022

Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation

Zhexin Zhang, Jiale Cheng, Hao Sun +5

cs.CV2025

Glyph: Scaling Context Windows via Visual-Text Compression

Jiale Cheng, Yusen Liu, Xinyu Zhang +11

cs.CL2024

AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models

Jiale Cheng, Yida Lu, Xiaotao Gu +6

cs.DS2026

Achieving Almost Exact Recovery in Almost Quadratic Time: Rank-Based Graph Matching via Local Tree Correlation Tests

Jiale Cheng, Ziao Wang, Lei Ying

The paper proposes a near‑quadratic‑time algorithm that uses rank‑based local tree correlation tests to match vertices in correlated Erdős–Rényi graph pairs, achieving almost exact…

#graph matching#random graphs#algorithm design#local tree tests
cs.CL2024

Black-Box Prompt Optimization: Aligning Large Language Models without Model Training

Jiale Cheng, Xiao Liu, Kehan Zheng +5