Xinxi Lyu - RankMe

13 papers A* 3Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DS SERVE: A Framework for Efficient and Scalable Neural Retrieval. AAAI Jinjian Liu, Yichuan Wang, Xinxi Lyu, Rulin Shao, Joseph E. Gonzalez, Matei Zaharia, Sewon Min
2026	J	`jnl`	DS SERVE: A Framework for Efficient and Scalable Neural Retrieval. CoRR Jinjian Liu, Yichuan Wang, Xinxi Lyu, Rulin Shao, Joseph E. Gonzalez, Matei Zaharia, Sewon Min
2025	J	`jnl`	Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks. CoRR Xinxi Lyu, Michael Duan, Rulin Shao, Pang Wei Koh, Sewon Min
2024	—	`conf`	Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. ACL (1) Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo
2024	J	`jnl`	Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. CoRR Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo
2024	J	`jnl`	HREF: Human Response-Guided Evaluation of Instruction Following in Language Models. CoRR Xinxi Lyu, Yizhong Wang, Hannaneh Hajishirzi, Pradeep Dasigi
2023	A*	`conf`	FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. EMNLP Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi
2023	J	`jnl`	FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. CoRR Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi
2023	—	`conf`	Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations. ACL (1) Xinxi Lyu, Sewon Min, Iz Beltagy, Luke Zettlemoyer, Hannaneh Hajishirzi
2022	—	`conf`	Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. NAACL-HLT Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi
2022	A*	`conf`	Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
2022	J	`jnl`	Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? CoRR Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
2022	J	`jnl`	Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations. CoRR Xinxi Lyu, Sewon Min, Iz Beltagy, Luke Zettlemoyer, Hannaneh Hajishirzi