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Pei Ke

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18

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18papers

Authored papers

18

IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation

arXiv 2026

2026

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors

arXiv 2024

2024

Benchmarking Complex Instruction-Following with Multiple Constraints Composition

arXiv 2024

2024

Towards Efficient Exact Optimization of Language Model Alignment

arXiv 2024

2024

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

arXiv 2024

2024

CharacterBench: Benchmarking Character Customization of Large Language Models

arXiv 2024

2024

From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks

arXiv 2024

2024

Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning

arXiv 2023

2023

Unveiling the Implicit Toxicity in Large Language Models

arXiv 2023

2023

AlignBench: Benchmarking Chinese Alignment of Large Language Models

arXiv 2023

2023

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

arXiv 2023

2023

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

arXiv 2023

2023

Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation

arXiv 2023

2023

Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization

arXiv 2023

2023

EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training

arXiv 2022

2022

Rethinking and Refining the Distinct Metric

ACL 2022 5

2022

A Large-Scale Chinese Short-Text Conversation Dataset

arXiv 2020

2020

CPM: A Large-scale Generative Chinese Pre-trained Language Model

arXiv 2020

2020

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Pei Ke - AI research profile