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Linyi Yang

31 papers · 2020–2025 · 9 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+13 more ↓ 🌍 Conference Polyglot (9) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (14) πŸƒ Academic Marathon (5)
πŸƒ Academic Marathon (5) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (6) πŸ† Grand Slam πŸ† Keyword Champion (3) πŸ‘₯ Mega-Team (22) 🀝 Dynamic Duo (27) 🧬 Topic Evolution πŸ’Ž Century Club (31) πŸ—ƒοΈ Keyword Collector (117) πŸ”₯ Unstoppable (6) ❓ The Questioner ⚑ Prolific Year (5)

Conferences

ACL (9) ICLR (9) COLING (4) EMNLP (3) NIPS (2) AAAI (1) ICML (1) IJCNLP (1) NAACL (1)

Papers

DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process ACL 2025 ResearStudio: A Human-intervenable Framework for Building Controllable Deep Research Agents EMNLP 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 Personality Alignment of Large Language Models ICLR 2025 CofCA: A STEP-WISE Counterfactual Multi-hop QA benchmark ICLR 2025 MMQA: Evaluating LLMs with Multi-Table Multi-Hop Complex Questions ICLR 2025 An Empirical Analysis of Uncertainty in Large Language Model Evaluations ICLR 2025 Human Simulacra: Benchmarking the Personification of Large Language Models ICLR 2025 Constrain Alignment with Sparse Autoencoders ICML 2025 CycleResearcher: Improving Automated Research via Automated Review ICLR 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 NIPS 2024 MAGE: Machine-generated Text Detection in the Wild ACL 2024 Detoxifying Large Language Models via Knowledge Editing ACL 2024 Supervised Knowledge Makes Large Language Models Better In-context Learners ICLR 2024 PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization ICLR 2024 Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature ICLR 2024 Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis 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 GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective ACL 2023 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 NIPS 2022 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 Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis IJCNLP 2021 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