Ruizhe Chen
25 papers · 2023–2026 · 9 conferences · across top CS/AI conferences
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EMNLP (7)
NIPS (3)
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Keywords
large language model
(7)
language model
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reinforcement learning
(3)
bias mitigation
(3)
preference optimization
(2)
bias detection
(2)
social bia
(2)
diffusion model
(2)
inference-time debiasing
(2)
machine translation
(2)
knowledge distillation
(1)
text generation
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information retrieval
(1)
named entity recognition
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preference learning
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natural language generation
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adversarial training
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multilingual nlp
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open-set classification
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image synthesis
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Papers
Act as you think: Reinforcing Consistent Reasoning in Medical Visual Question Answering
ACL 2026
Evolutionary Guided Decoding: Iterative Value Refinement for LLMs
ACL 2026
DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition
EMNLP 2025
Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning
EMNLP 2025
BiasFilter: An Inference-Time Debiasing Framework for Large Language Models
EMNLP 2025
MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning
EMNLP 2025
FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs
ICLR 2025
PAD: Personalized Alignment of LLMs at Decoding-time
ICLR 2025
An All-Atom Generative Model for Designing Protein Complexes
ICML 2025
Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate
ICML 2025
Modality-Fair Preference Optimization for Trustworthy MLLM Alignment
IJCAI 2025
Identifying and Mitigating Social Bias Knowledge in Language Models
NAACL 2025
DiffPO: Diffusion-styled Preference Optimization for Inference Time Alignment of Large Language Models
ACL 2025
Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment
ACL 2025
BiasGuard: A Reasoning-Enhanced Bias Detection Tool for Large Language Models
ACL 2025
FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering
ACL 2025
Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level
EMNLP 2024
Learnable Privacy Neurons Localization in Language Models
ACL 2024
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization
NIPS 2024
BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs
EMNLP 2024
Robustness-Guided Image Synthesis for Data-Free Quantization
AAAI 2024
Model Adaptive Tooth Segmentation
MIDL 2023
Fast Model DeBias with Machine Unlearning
NIPS 2023
Towards Distribution-Agnostic Generalized Category Discovery
NIPS 2023
QTSumm: Query-Focused Summarization over Tabular Data
EMNLP 2023