Richard Yuanzhe Pang
23 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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(2)
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Keyword Pioneer
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Topic Evolution
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Top co-authors
Research topics
Machine Learning
(19)
Natural Language Processing
(14)
Artificial Intelligence
(13)
Core AI
(12)
Deep Learning
(11)
Learning Types Β· Machine Learning
(9)
Generation
(8)
Optimization & Theory
(8)
Learning Types Β· Deep Learning
(6)
Core Methods
(4)
Resources & Methods
(4)
Application Areas
(3)
Applications
(3)
Architectures
(3)
Models
(3)
Keywords
large language model
(4)
language model
(3)
preference optimization
(2)
neural network
(2)
paraphrase generation
(2)
style transfer
(2)
natural language understanding
(2)
instruction following
(2)
inference network
(2)
energy-based model
(2)
sequence generation
(2)
reinforcement learning
(2)
textual style transfer
(2)
benchmark evaluation
(2)
reward modeling
(2)
dataset creation
(1)
natural language processing
(1)
sentiment analysis
(1)
zero-shot learning
(1)
sequence labeling
(1)
Papers
AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following
ACL 2026
Self-Consistency Preference Optimization
ICML 2025
Self-Generated Critiques Boost Reward Modeling for Language Models
NAACL 2025
Transformers Struggle to Learn to Search
ICLR 2025
Iterative Reasoning Preference Optimization
NeurIPS 2024
Leveraging Implicit Feedback from Deployment Data in Dialogue
EACL 2024
Self-Rewarding Language Models
ICML 2024
Extrapolative Controlled Sequence Generation via Iterative Refinement
ICML 2023
Reward Gaming in Conditional Text Generation
ACL 2023
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples
NeurIPS 2023
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey
ACL 2023
QuALITY: Question Answering with Long Input Texts, Yes!
NAACL 2022
SQuALITY: Building a Long-Document Summarization Dataset the Hard Way
EMNLP 2022
Token Dropping for Efficient BERT Pretraining
ACL 2022
AgreeSum: Agreement-Oriented Multi-Document Summarization
ACL 2021
Comparing Test Sets with Item Response Theory
ACL 2021
Text Generation by Learning from Demonstrations
ICLR 2021
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding
EMNLP 2020
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
ACL 2020
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks
EMNLP 2020
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?
ACL 2020
Towards Actual (Not Operational) Textual Style Transfer Auto-Evaluation
EMNLP 2019
Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer
EMNLP 2019