Pei Zhou
26 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (12) π§ Keyword Pioneer π Academic Marathon (6) π Conference Polyglot (7) π Renaissance Researcher (7)
π
Renaissance Researcher
(7)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(56)
π
Keyword Champion
(2)
π
Century Club
(23)
β‘
Prolific Year
(5)
π
Trend Setter
π₯
Unstoppable
(7)
β
The Questioner
ποΈ
Keyword Collector
(102)
Conferences
EMNLP (12)
ACL (4)
AAAI (2)
ICLR (2)
IJCNLP (2)
NIPS (2)
ECCV (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
large language model
(6)
dialogue system
(4)
commonsense reasoning
(4)
response generation
(3)
bilingual embedding
(2)
gender bia
(2)
contextualized word embedding
(2)
contrastive learning
(2)
word embedding
(2)
orthogonal transformation
(2)
reinforcement learning
(2)
theory of mind
(2)
self-supervised learning
(2)
transfer learning
(2)
commonsense knowledge
(2)
zero-shot learning
(2)
bias mitigation
(2)
language model
(2)
knowledge graph
(2)
sentence classification
(2)
Papers
WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback
ACL 2026
Online Multi-Relational Clustering with Dominant View Mining
AAAI 2026
Unsupervised Semantic Discovery via Global and Local Semantic Alignment in Multimodal Clustering
AAAI 2026
GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation
ACL 2025
AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations
ICLR 2025
Multi-Label Text Classification with Label Attention Aware and Correlation Aware Contrastive Learning
IJCAI 2025
HyPoGen: Optimization-Biased Hypernetworks for Generalizable Policy Generation
ICLR 2025
Teaching Language Models To Gather Information Proactively
EMNLP 2025
SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures
NIPS 2024
AutoMix: Automatically Mixing Language Models
NIPS 2024
MaxMI: A Maximal Mutual Information Criterion for Manipulation Concept Discovery
ECCV 2024
InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context
EMNLP 2024
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons
ACL 2023
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization
EMNLP 2023
Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation
ACL 2022
Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality
EMNLP 2022
Probing Commonsense Explanation in Dialogue Response Generation
EMNLP 2021
Think Before You Speak: Learning to Generate Implicit Knowledge for Response Generation by Self-Talk
EMNLP 2021
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources
EMNLP 2021
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms
EMNLP 2021
Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks
EMNLP 2020
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning
EMNLP 2020
Examining Gender Bias in Languages with Grammatical Gender
EMNLP 2019
Retrofitting Contextualized Word Embeddings with Paraphrases
IJCNLP 2019
Examining Gender Bias in Languages with Grammatical Gender
IJCNLP 2019
Retrofitting Contextualized Word Embeddings with Paraphrases
EMNLP 2019