AlignBench: Benchmarking Chinese Alignment of Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Xiao, Lei, Xuanyu, Wang, Shengyuan, Huang, Yue, Feng, Zhuoer, Wen, Bosi, Cheng, Jiale, Ke, Pei, Xu, Yifan, Tam, Weng Lam, Zhang, Xiaohan, Sun, Lichao, Gu, Xiaotao, Wang, Hongning, Zhang, Jing, Huang, Minlie, Dong, Yuxiao, Tang, Jie |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation
by: Ke, Pei, et al.
Published: (2023)
by: Ke, Pei, et al.
Published: (2023)
IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation
by: Wen, Bosi, et al.
Published: (2026)
by: Wen, Bosi, et al.
Published: (2026)
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
by: Cheng, Jiale, et al.
Published: (2023)
by: Cheng, Jiale, et al.
Published: (2023)
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models
by: Cheng, Jiale, et al.
Published: (2024)
by: Cheng, Jiale, et al.
Published: (2024)
RLAR: An Agentic Reward System for Multi-task Reinforcement Learning on Large Language Models
by: Feng, Andrew Zhuoer, et al.
Published: (2026)
by: Feng, Andrew Zhuoer, et al.
Published: (2026)
HPSS: Heuristic Prompting Strategy Search for LLM Evaluators
by: Wen, Bosi, et al.
Published: (2025)
by: Wen, Bosi, et al.
Published: (2025)
Language Model Decoding as Direct Metrics Optimization
by: Ji, Haozhe, et al.
Published: (2023)
by: Ji, Haozhe, et al.
Published: (2023)
HoWToBench: Holistic Evaluation for LLM's Capability in Human-level Writing using Tree of Writing
by: Feng, Andrew Zhuoer, et al.
Published: (2026)
by: Feng, Andrew Zhuoer, et al.
Published: (2026)
VPO: Aligning Text-to-Video Generation Models with Prompt Optimization
by: Cheng, Jiale, et al.
Published: (2025)
by: Cheng, Jiale, et al.
Published: (2025)
LongSafety: Evaluating Long-Context Safety of Large Language Models
by: Lu, Yida, et al.
Published: (2025)
by: Lu, Yida, et al.
Published: (2025)
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
by: Cheng, Jiale, et al.
Published: (2024)
by: Cheng, Jiale, et al.
Published: (2024)
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models
by: Gui, Jiayi, et al.
Published: (2024)
by: Gui, Jiayi, et al.
Published: (2024)
IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation
by: Wen, Bosi, et al.
Published: (2025)
by: Wen, Bosi, et al.
Published: (2025)
HinTel-AlignBench: A Framework and Benchmark for Hindi-Telugu with English-Aligned Samples
by: Chigrupaatii, Rishikant, et al.
Published: (2025)
by: Chigrupaatii, Rishikant, et al.
Published: (2025)
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
by: Zhang, Zhexin, et al.
Published: (2023)
by: Zhang, Zhexin, et al.
Published: (2023)
ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback
by: Hou, Zhenyu, et al.
Published: (2024)
by: Hou, Zhenyu, et al.
Published: (2024)
Towards Efficient Exact Optimization of Language Model Alignment
by: Ji, Haozhe, et al.
Published: (2024)
by: Ji, Haozhe, et al.
Published: (2024)
Learning Task Decomposition to Assist Humans in Competitive Programming
by: Wen, Jiaxin, et al.
Published: (2024)
by: Wen, Jiaxin, et al.
Published: (2024)
Agent-SafetyBench: Evaluating the Safety of LLM Agents
by: Zhang, Zhexin, et al.
Published: (2024)
by: Zhang, Zhexin, et al.
Published: (2024)
CharacterBench: Benchmarking Character Customization of Large Language Models
by: Zhou, Jinfeng, et al.
Published: (2024)
by: Zhou, Jinfeng, et al.
Published: (2024)
AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models
by: Wu, Yuhang, et al.
Published: (2024)
by: Wu, Yuhang, et al.
Published: (2024)
ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors
by: Zhang, Zhexin, et al.
Published: (2024)
by: Zhang, Zhexin, et al.
Published: (2024)
LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety
by: Yang, Junxiao, et al.
Published: (2026)
by: Yang, Junxiao, et al.
Published: (2026)
Benchmarking Complex Instruction-Following with Multiple Constraints Composition
by: Wen, Bosi, et al.
Published: (2024)
by: Wen, Bosi, et al.
Published: (2024)
RAVEL: Reasoning Agents for Validating and Evaluating LLM Text Synthesis
by: Feng, Andrew Zhuoer, et al.
Published: (2026)
by: Feng, Andrew Zhuoer, et al.
Published: (2026)
Guiding not Forcing: Enhancing the Transferability of Jailbreaking Attacks on LLMs via Removing Superfluous Constraints
by: Yang, Junxiao, et al.
Published: (2025)
by: Yang, Junxiao, et al.
Published: (2025)
From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks
by: Zhang, Zhexin, et al.
Published: (2024)
by: Zhang, Zhexin, et al.
Published: (2024)
Training Language Model to Critique for Better Refinement
by: Yu, Tianshu, et al.
Published: (2025)
by: Yu, Tianshu, et al.
Published: (2025)
Trust-Region Adaptive Policy Optimization
by: Su, Mingyu, et al.
Published: (2025)
by: Su, Mingyu, et al.
Published: (2025)
Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning
by: Wen, Jiaxin, et al.
Published: (2024)
by: Wen, Jiaxin, et al.
Published: (2024)
Grounding LLMs in Scientific Discovery via Embodied Actions
by: Zhang, Bo, et al.
Published: (2026)
by: Zhang, Bo, et al.
Published: (2026)
Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training
by: Weng, Fenghua, et al.
Published: (2025)
by: Weng, Fenghua, et al.
Published: (2025)
SafetyBench: Evaluating the Safety of Large Language Models
by: Zhang, Zhexin, et al.
Published: (2023)
by: Zhang, Zhexin, et al.
Published: (2023)
Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!
by: Zhang, Zhexin, et al.
Published: (2025)
by: Zhang, Zhexin, et al.
Published: (2025)
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts
by: Zhang, Shudan, et al.
Published: (2024)
by: Zhang, Shudan, et al.
Published: (2024)
Glyph: Scaling Context Windows via Visual-Text Compression
by: Cheng, Jiale, et al.
Published: (2025)
by: Cheng, Jiale, et al.
Published: (2025)
AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
by: Guan, Jian, et al.
Published: (2024)
by: Guan, Jian, et al.
Published: (2024)
The Superalignment of Superhuman Intelligence with Large Language Models
by: Huang, Minlie, et al.
Published: (2024)
by: Huang, Minlie, et al.
Published: (2024)
ReAlign: Generalizable Image Forgery Detection via Reasoning-Aligned Representation
by: Huang, Qing, et al.
Published: (2026)
by: Huang, Qing, et al.
Published: (2026)
Think Socially via Cognitive Reasoning
by: Zhou, Jinfeng, et al.
Published: (2025)
by: Zhou, Jinfeng, et al.
Published: (2025)
Similar Items
-
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation
by: Ke, Pei, et al.
Published: (2023) -
IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation
by: Wen, Bosi, et al.
Published: (2026) -
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
by: Cheng, Jiale, et al.
Published: (2023) -
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models
by: Cheng, Jiale, et al.
Published: (2024) -
RLAR: An Agentic Reward System for Multi-task Reinforcement Learning on Large Language Models
by: Feng, Andrew Zhuoer, et al.
Published: (2026)