conftrace_

Yidong Wang

23 papers · 2021–2026 · 8 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+12 more ↓ 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (5)
🧭 Keyword Pioneer 🏃 Academic Marathon (5) 🤝 Dynamic Duo (16) 👑 Triple Crown 👥 Mega-Team (22) 🏆 Grand Slam 🏆 Keyword Champion (2) 💎 Century Club (22) 📈 Trend Setter Prolific Year (5) 🔥 Unstoppable (5) 🗃️ Keyword Collector (78)

Conferences

NIPS (5) ACL (4) EMNLP (4) ICLR (4) ICML (3) AAAI (1) ACML (1) COLING (1)

Papers

UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge AAAI 2026 Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation ICML 2025 Masked Autoencoders Are Effective Tokenizers for Diffusion Models ICML 2025 Supervised Knowledge Makes Large Language Models Better In-context Learners ICLR 2024 PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization ICLR 2024 Enhancing In-Context Learning via Implicit Demonstration Augmentation ACL 2024 KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models ACL 2024 What Makes a Good Order of Examples in In-Context Learning ACL 2024 A General Framework for Learning from Weak Supervision ICML 2024 FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models EMNLP 2024 PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness EMNLP 2024 RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation EMNLP 2024 Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations NIPS 2024 AutoSurvey: Large Language Models Can Automatically Write Surveys NIPS 2024 Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future EMNLP 2023 Evaluating Open-QA Evaluation NIPS 2023 GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective ACL 2023 FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning ICLR 2023 SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning ICLR 2023 Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction COLING 2022 Margin Calibration for Long-Tailed Visual Recognition ACML 2022 USB: A Unified Semi-supervised Learning Benchmark for Classification NIPS 2022 FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling NIPS 2021