Lifan Yuan
16 papers · 2022–2025 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(13)
Artificial Intelligence
(12)
Core AI
(11)
Natural Language Processing
(9)
Learning Types Β· Machine Learning
(6)
Application Areas
(5)
Deep Learning
(4)
Learning Types Β· Deep Learning
(4)
Optimization & Theory
(4)
Resources & Methods
(4)
Reinforcement Learning
(2)
Applications
(2)
Generation
(2)
Learning Paradigms
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Methods
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Keywords
large language model
(5)
multi-turn interaction
(2)
textual adversarial attack
(2)
adversarial attack
(2)
natural language processing
(2)
benchmark evaluation
(2)
adversarial defense
(2)
reward modeling
(1)
adversarial robustness
(1)
zero-shot learning
(1)
text classification
(1)
gradient-based optimization
(1)
uncertainty quantification
(1)
model calibration
(1)
domain adaptation
(1)
adversarial learning
(1)
text generation
(1)
in-context learning
(1)
masked language model
(1)
model security
(1)
Papers
Advancing LLM Reasoning Generalists with Preference Trees
ICLR 2025
Free Process Rewards without Process Labels
ICML 2025
The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning
ACL 2025
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment
EMNLP 2024
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
ICLR 2024
Executable Code Actions Elicit Better LLM Agents
ICML 2024
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
ICLR 2024
Noise Contrastive Alignment of Language Models with Explicit Rewards
NeurIPS 2024
ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback
ICML 2024
A Close Look into the Calibration of Pre-trained Language Models
ACL 2023
Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT
EMNLP 2023
Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework
ACL 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
ACL 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations
NeurIPS 2023
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks
NeurIPS 2022
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition
COLING 2022