Linyi Yang
30 papers · 2020–2025 · 8 venues · across top CS/AI venues
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Achievements
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Research topics
Artificial Intelligence
(20)
Machine Learning
(20)
Natural Language Processing
(19)
Core AI
(18)
Application Areas
(12)
Learning Types Β· Machine Learning
(11)
Applications
(10)
Deep Learning
(8)
Resources & Methods
(8)
Core Methods
(5)
Learning Types Β· Deep Learning
(5)
Generation
(3)
Optimization & Theory
(3)
Reinforcement Learning
(2)
Architectures
(2)
Keywords
large language model
(12)
text classification
(5)
out-of-distribution generalization
(3)
in-context learning
(3)
pre-trained language model
(3)
domain adaptation
(3)
question answering
(3)
counterfactual data augmentation
(2)
multi-hop reasoning
(2)
financial forecasting
(2)
domain generalization
(2)
sentiment analysis
(2)
natural language processing
(2)
distribution shift
(2)
out-of-distribution detection
(2)
chain-of-thought reasoning
(2)
few-shot learning
(2)
model evaluation
(2)
data augmentation
(2)
natural language understanding
(2)
Papers
An Empirical Analysis of Uncertainty in Large Language Model Evaluations
ICLR 2025
CofCA: A STEP-WISE Counterfactual Multi-hop QA benchmark
ICLR 2025
Constrain Alignment with Sparse Autoencoders
ICML 2025
CycleResearcher: Improving Automated Research via Automated Review
ICLR 2025
DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process
ACL 2025
Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values
EMNLP 2025
How Likely Do LLMs with CoT Mimic Human Reasoning?
COLING 2025
Human Simulacra: Benchmarking the Personification of Large Language Models
ICLR 2025
MMQA: Evaluating LLMs with Multi-Table Multi-Hop Complex Questions
ICLR 2025
Personality Alignment of Large Language Models
ICLR 2025
ResearStudio: A Human-intervenable Framework for Building Controllable Deep Research Agents
EMNLP 2025
A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution
NAACL 2024
CulturePark: Boosting Cross-cultural Understanding in Large Language Models
NeurIPS 2024
Detoxifying Large Language Models via Knowledge Editing
ACL 2024
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature
ICLR 2024
MAGE: Machine-generated Text Detection in the Wild
ACL 2024
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
ICLR 2024
Supervised Knowledge Makes Large Language Models Better In-context Learners
ICLR 2024
Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis
ACL 2023
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective
ACL 2023
Learning to Generalize for Cross-domain QA
ACL 2023
Measuring Consistency in Text-based Financial Forecasting Models
ACL 2023
Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future
EMNLP 2023
A Rationale-Centric Framework for Human-in-the-loop Machine Learning
ACL 2022
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition
COLING 2022
Human-in-the-loop Robotic Grasping Using BERT Scene Representation
COLING 2022
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting
AAAI 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification
NeurIPS 2022
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
ACL 2021
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification
COLING 2020