Wenjin Yao

5 papers · 2024–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird ⚡ Prolific Year · Productive

Venues

EMNLP (2) ACL (1) ICLR (1) NeurIPS (1)

Top co-authors

Yidong Wang (5) Wei Ye (5) Shikun Zhang (5) Yue Zhang (4) Zhuohao Yu (4) Jindong Wang (3) Chang Gao (2) Rui Xie (2) Xing Xie (2) Zhengran Zeng (2)

Research topics

Natural Language Processing (4) Artificial Intelligence (3) Machine Learning (3) Core AI (3) Resources & Methods (3) Deep Learning (2) Applications (2) Learning Types (2) Application Areas (1) Generation (1) Models (1) Optimization & Theory (1)

Keywords

large language model (3) data contamination (2) query reformulation (1) distributed computing (1) instruction tuning (1) evaluation framework (1) reinforcement learning from human feedback (1) model comparison (1) distributed computation (1) evaluation benchmark (1) large language model evaluation (1) human evaluation (1) knowledge grounding (1) hyperparameter selection (1) automatic evaluation (1) multi-round dialogue (1) knowledge-grounded evaluation (1) large language model alignment (1) literature survey (1) information synthesis (1)

Papers

AutoSurvey: Large Language Models Can Automatically Write Surveys NeurIPS 2024 FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models EMNLP 2024 KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models ACL 2024 PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization ICLR 2024 PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness EMNLP 2024