Pei Ke
34 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (9) 🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🐝
Cross-Pollinator
(12)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🤝
Dynamic Duo
(31)
👑
Triple Crown
🏆
Grand Slam
👥
Mega-Team
(20)
🧬
Topic Evolution
💎
Century Club
(31)
📈
Trend Setter
🚀
Conference Pioneer
🗃️
Keyword Collector
(132)
🔥
Unstoppable
(8)
⚡
Prolific Year
(12)
Conferences
ACL (16)
EMNLP (8)
ICLR (2)
IJCNLP (2)
NIPS (2)
AAAI (1)
AACL (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
large language model
(12)
text generation
(7)
language model
(5)
instruction following
(4)
natural language generation
(3)
dialogue system
(3)
critique generation
(3)
preference optimization
(3)
benchmark evaluation
(3)
multi-hop reasoning
(2)
generative adversarial network
(2)
evaluation metric
(2)
prompt optimization
(2)
pre-trained language model
(2)
commonsense reasoning
(2)
policy gradient
(2)
reinforcement learning
(2)
maximum likelihood
(2)
adversarial training
(2)
question answering
(2)
Papers
CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models
ACL 2026
IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation
ACL 2026
IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation
ACL 2026
Training Language Model to Critique for Better Refinement
ACL 2025
HPSS: Heuristic Prompting Strategy Search for LLM Evaluators
ACL 2025
CharacterBench: Benchmarking Character Customization of Large Language Models
AAAI 2025
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering
NIPS 2024
Benchmarking Complex Instruction-Following with Multiple Constraints Composition
NIPS 2024
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
ACL 2024
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
ACL 2024
AlignBench: Benchmarking Chinese Alignment of Large Language Models
ACL 2024
Learning Task Decomposition to Assist Humans in Competitive Programming
ACL 2024
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation
ACL 2024
CharacterGLM: Customizing Social Characters with Large Language Models
EMNLP 2024
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models
EMNLP 2024
ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors
EMNLP 2024
Language Model Decoding as Direct Metrics Optimization
ICLR 2024
Towards Efficient Exact Optimization of Language Model Alignment
ICML 2024
Unveiling the Implicit Toxicity in Large Language Models
EMNLP 2023
Tailoring Language Generation Models under Total Variation Distance
ICLR 2023
DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering
ACL 2023
Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning
ACL 2023
Rethinking and Refining the Distinct Metric
ACL 2022
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization
EMNLP 2022
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation
IJCAI 2022
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation
ACL 2022
JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
ACL 2021
JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
IJCNLP 2021
Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph
EMNLP 2020
SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge
EMNLP 2020
Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths
AACL 2020
ARAML: A Stable Adversarial Training Framework for Text Generation
IJCNLP 2019
ARAML: A Stable Adversarial Training Framework for Text Generation
EMNLP 2019
Generating Informative Responses with Controlled Sentence Function
ACL 2018