Chenglei Si - RankMe

46 papers A* 3B 1Journal 29Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards Execution-Grounded Automated AI Research. CoRR Chenglei Si, Zitong Yang, Yejin Choi, Emmanuel J. Candès, Diyi Yang, Tatsunori Hashimoto
2025	A*	`conf`	Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers. ICLR Chenglei Si, Diyi Yang, Tatsunori Hashimoto
2025	J	`jnl`	Completion ≠ Collaboration: Scaling Collaborative Effort with Agents. CoRR Shannon Zejiang Shen, Valerie Chen, Ken Gu, Alexis Ross, Zixian Ma, Jillian Ross, Alex Gu, Chenglei Si, Wayne Chi, Andi Peng, Jocelyn J. Shen, Ameet Talwalkar, Tongshuang Wu, David A. Sontag
2025	—	`conf`	Contextual Experience Replay for Self-Improvement of Language Agents. ACL (1) Yitao Liu, Chenglei Si, Karthik R. Narasimhan, Shunyu Yao
2025	J	`jnl`	Contextual Experience Replay for Self-Improvement of Language Agents. CoRR Yitao Liu, Chenglei Si, Karthik Narasimhan, Shunyu Yao
2025	—	`conf`	Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering. NAACL (Long Papers) Chenglei Si, Yanzhe Zhang, Ryan Li, Zhengyuan Yang, Ruibo Liu, Diyi Yang
2025	J	`jnl`	Predicting Empirical AI Research Outcomes with Language Models. CoRR Jiaxin Wen, Chenglei Si, Yueh-han Chen, He He, Shi Feng
2025	—	`conf`	SPHERE: An Evaluation Card for Human-AI Systems. ACL (Findings) Dora Zhao, Qianou Ma, Xinran Zhao, Chenglei Si, Chenyang Yang, Ryan Louie, Ehud Reiter, Diyi Yang, Tongshuang Wu
2025	J	`jnl`	SPHERE: An Evaluation Card for Human-AI Systems. CoRR Qianou Ma, Dora Zhao, Xinran Zhao, Chenglei Si, Chenyang Yang, Ryan Louie, Ehud Reiter, Diyi Yang, Tongshuang Wu
2025	J	`jnl`	The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas. CoRR Chenglei Si, Tatsunori Hashimoto, Diyi Yang
2025	J	`jnl`	The Ramon Llull's Thinking Machine for Automated Ideation. CoRR Xinran Zhao, Boyuan Zheng, Chenglei Si, Haofei Yu, Ken Liu, Runlong Zhou, Ruochen Li, Tong Chen, Xiang Li, Yiming Zhang, Tongshuang Wu
2024	J	`jnl`	Best Practices and Lessons Learned on Synthetic Data for Language Models. CoRR Ruibo Liu, Jerry Wei, Fangyu Liu, Chenglei Si, Yanzhe Zhang, Jinmeng Rao, Steven Zheng, Daiyi Peng, Diyi Yang, Denny Zhou, Andrew M. Dai
2024	J	`jnl`	Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers. CoRR Chenglei Si, Diyi Yang, Tatsunori Hashimoto
2024	J	`jnl`	Configurable Foundation Models: Building LLMs from a Modular Perspective. CoRR Chaojun Xiao, Zhengyan Zhang, Chenyang Song, Dazhi Jiang, Feng Yao, Xu Han, Xiaozhi Wang, Shuo Wang, Yufei Huang, Guanyu Lin, Yingfa Chen, Weilin Zhao, Yuge Tu, Zexuan Zhong, Ao Zhang, Chenglei Si, Moo Khai Hao, Chenyang Zhao, Huimin Chen, Yankai Lin, Zhiyuan Liu, Jingbo Shang, Maosong Sun
2024	J	`jnl`	Design2Code: How Far Are We From Automating Front-End Engineering? CoRR Chenglei Si, Yanzhe Zhang, Zhengyuan Yang, Ruibo Liu, Diyi Yang
2024	—	`conf`	Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong. NAACL-HLT Chenglei Si, Navita Goyal, Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber
2024	J	`jnl`	The Prompt Report: A Systematic Survey of Prompting Techniques. CoRR Sander Schulhoff, Michael Ilie, Nishant Balepur, Konstantine Kahadze, Amanda Liu, Chenglei Si, Yinheng Li, Aayush Gupta, HyoJung Han, Sevien Schulhoff, Pranav Sandeep Dulepet, Saurav Vidyadhara, Dayeon Ki, Sweta Agrawal, Chau Pham, Gerson C. Kroiz, Feileen Li, Hudson Tao, Ashay Srivastava, Hevander Da Costa, Saloni Gupta, Megan L. Rogers, Inna Goncearenco, Giuseppe Sarli, Igor Galynker, Denis Peskoff, Marine Carpuat, Jules White, Shyamal Anadkat, Alexander Miserlis Hoyle, Philip Resnik
2024	J	`jnl`	Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions. CoRR Hua Shen, Tiffany Knearem, Reshmi Ghosh, Kenan Alkiek, Kundan Krishna, Yachuan Liu, Ziqiao Ma, Savvas Petridis, Yi-Hao Peng, Li Qiwei, Sushrita Rakshit, Chenglei Si, Yutong Xie, Jeffrey P. Bigham, Frank Bentley, Joyce Chai, Zachary C. Lipton, Qiaozhu Mei, Rada Mihalcea, Michael Terry, Diyi Yang, Meredith Ringel Morris, Paul Resnick, David Jurgens
2023	—	`conf`	Getting MoRE out of Mixture of Language Model Reasoning Experts. EMNLP (Findings) Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber
2023	A*	`conf`	Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition. EMNLP Sander Schulhoff, Jeremy Pinto, Anaum Khan, Louis-François Bouchard, Chenglei Si, Svetlina Anati, Valen Tagliabue, Anson Liu Kost, Christopher Carnahan, Jordan L. Boyd-Graber
2023	J	`jnl`	Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition. CoRR Sander Schulhoff, Jeremy Pinto, Anaum Khan, Louis-François Bouchard, Chenglei Si, Svetlina Anati, Valen Tagliabue, Anson Liu Kost, Christopher Carnahan, Jordan L. Boyd-Graber
2023	J	`jnl`	Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong. CoRR Chenglei Si, Navita Goyal, Sherry Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber
2023	—	`conf`	Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations. ACL (1) Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen, He He
2023	J	`jnl`	Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations. CoRR Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen, He He
2023	J	`jnl`	Mixture of Prompt Experts for Generalizable and Interpretable Question Answering. CoRR Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber
2023	A*	`conf`	Prompting GPT-3 To Be Reliable. ICLR Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan L. Boyd-Graber, Lijuan Wang
2023	—	`conf`	READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises. ACL (1) Chenglei Si, Zhengyan Zhang, Yingfa Chen, Xiaozhi Wang, Zhiyuan Liu, Maosong Sun
2023	J	`jnl`	READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises. CoRR Chenglei Si, Zhengyan Zhang, Yingfa Chen, Xiaozhi Wang, Zhiyuan Liu, Maosong Sun
2023	J	`jnl`	Sub-Character Tokenization for Chinese Pretrained Language Models. Trans. Assoc. Comput. Linguistics Chenglei Si, Zhengyan Zhang, Yingfa Chen, Fanchao Qi, Xiaozhi Wang, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun
2022	J	`jnl`	Prompting GPT-3 To Be Reliable. CoRR Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan L. Boyd-Graber, Lijuan Wang
2022	—	`conf`	Re-Examining Calibration: The Case of Question Answering. EMNLP (Findings) Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber
2022	J	`jnl`	Revisiting Calibration for Question Answering. CoRR Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber
2021	—	`conf`	Adversarial Training for Machine Reading Comprehension with Virtual Embeddings. *SEM Ziqing Yang, Yiming Cui, Chenglei Si, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu
2021	J	`jnl`	Adversarial Training for Machine Reading Comprehension with Virtual Embeddings. CoRR Ziqing Yang, Yiming Cui, Chenglei Si, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu
2021	—	`conf`	Benchmarking Robustness of Machine Reading Comprehension Models. ACL/IJCNLP (Findings) Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu, Shijin Wang
2021	—	`conf`	Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning. ACL/IJCNLP (Findings) Chenglei Si, Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun
2021	J	`jnl`	Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP. CoRR Sabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky, Colin Raffel, Manan Dey, Matthias Gallé, Arun Raja, Chenglei Si, Wilson Y. Lee, Benoît Sagot, Samson Tan
2021	J	`jnl`	SHUOWEN-JIEZI: Linguistically Informed Tokenizers For Chinese Language Model Pretraining. CoRR Chenglei Si, Zhengyan Zhang, Yingfa Chen, Fanchao Qi, Xiaozhi Wang, Zhiyuan Liu, Maosong Sun
2021	—	`conf`	What's in a Name? Answer Equivalence For Open-Domain Question Answering. EMNLP (1) Chenglei Si, Chen Zhao, Jordan L. Boyd-Graber
2021	J	`jnl`	What's in a Name? Answer Equivalence For Open-Domain Question Answering. CoRR Chenglei Si, Chen Zhao, Jordan L. Boyd-Graber
2020	J	`jnl`	Benchmarking Robustness of Machine Reading Comprehension Models. CoRR Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu, Shijin Wang
2020	J	`jnl`	Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning. CoRR Chenglei Si, Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun
2020	B	`conf`	CharBERT: Character-aware Pre-trained Language Model. COLING Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, Guoping Hu
2020	J	`jnl`	CharBERT: Character-aware Pre-trained Language Model. CoRR Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, Guoping Hu
2019	—	`conf`	Sentiment Aware Neural Machine Translation. WAT@EMNLP-IJCNLP Chenglei Si, Kui Wu, Ai Ti Aw, Min-Yen Kan
2019	J	`jnl`	What does BERT Learn from Multiple-Choice Reading Comprehension Datasets? CoRR Chenglei Si, Shuohang Wang, Min-Yen Kan, Jing Jiang