Lifan Yuan
16 papers · 2022–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Cross-Pollinator (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Renaissance Researcher (5)
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Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(26)
π
Triple Crown
π€
Dynamic Duo
(11)
π±
Topic Pioneer
β‘
Prolific Year
(6)
π
Century Club
(16)
ποΈ
Keyword Collector
(55)
Conferences
ACL (4)
ICLR (3)
ICML (3)
NIPS (3)
EMNLP (2)
COLING (1)
Top co-authors
Keywords
adversarial defense
(2)
textual adversarial attack
(2)
natural language processing
(2)
adversarial attack
(2)
large language model
(2)
model security
(1)
few-shot learning
(1)
benchmark evaluation
(1)
gradient-based optimization
(1)
text classification
(1)
uncertainty quantification
(1)
model calibration
(1)
data augmentation
(1)
in-context learning
(1)
adversarial robustness
(1)
instruction tuning
(1)
language model alignment
(1)
preference optimization
(1)
distribution shift
(1)
masked language model
(1)
Papers
The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning
ACL 2025
Free Process Rewards without Process Labels
ICML 2025
Advancing LLM Reasoning Generalists with Preference Trees
ICLR 2025
ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback
ICML 2024
Noise Contrastive Alignment of Language Models with Explicit Rewards
NIPS 2024
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment
EMNLP 2024
Executable Code Actions Elicit Better LLM Agents
ICML 2024
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
ICLR 2024
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
ICLR 2024
Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT
EMNLP 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations
NIPS 2023
A Close Look into the Calibration of Pre-trained Language Models
ACL 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
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks
NIPS 2022
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition
COLING 2022