Scott Yih

28 papers A* 7Journal 8Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference.
IEEE Micro
Yejin Lee, Alicia Golden, Anna Y. Sun, Basil Hosmer, Bilge Acun, Can Balioglu, Changhan Wang, Charles David Hernandez, Christian Puhrsch, Daniel Haziza, Driss Guessous, Francisco Massa, Jacob Kahn, Jeffrey Wan, Jeremy Reizenstein, Jiaqi Zhai, Joe Isaacson, Joel Schlosser, Juan Pino, Kaushik Ram Sadagopan, Leonid Shamis, Linjian Ma, Min-Jae Hwang, Mingda Chen, Mostafa Elhoushi, Pedro Rodríguez, Ram Pasunuru, Samuel Hsia, Scott Yih, Sravya Popuri, Xing Liu, Carole-Jean Wu
2025 J jnl
FACTORY: A Challenging Human-Verified Prompt Set for Long-Form Factuality.
CoRR
Mingda Chen, Yang Li, Xilun Chen, Adina Williams, Gargi Ghosh, Scott Yih
2024 A* conf
CRAG - Comprehensive RAG Benchmark.
NeurIPS
Xiao Yang, Kai Sun, Hao Xin, Yushi Sun, Nikita Bhalla, Xiangsen Chen, Sajal Choudhary, Rongze Daniel Gui, Ziran Will Jiang, Ziyu Jiang, Lingkun Kong, Brian Moran, Jiaqi Wang, Yifan Xu, An Yan, Chenyu Yang, Eting Yuan, Hanwen Zha, Nan Tang, Lei Chen, Nicolas Scheffer, Yue Liu, Nirav Shah, Rakesh Wanga, Anuj Kumar, Scott Yih, Xin Dong
2024 J jnl
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference.
CoRR
Yejin Lee, Anna Y. Sun, Basil Hosmer, Bilge Acun, Can Balioglu, Changhan Wang, Charles David Hernandez, Christian Puhrsch, Daniel Haziza, Driss Guessous, Francisco Massa, Jacob Kahn, Jeffrey Wan, Jeremy Reizenstein, Jiaqi Zhai, Joe Isaacson, Joel Schlosser, Juan Pino, Kaushik Ram Sadagopan, Leonid Shamis, Linjian Ma, Min-Jae Hwang, Mingda Chen, Mostafa Elhoushi, Pedro Rodriguez, Ram Pasunuru, Scott Yih, Sravya Popuri, Xing Liu, Carole-Jean Wu
2024 A* conf
FLAME : Factuality-Aware Alignment for Large Language Models.
NeurIPS
Sheng-Chieh Lin, Luyu Gao, Barlas Oguz, Wenhan Xiong, Jimmy Lin, Scott Yih, Xilun Chen
2024 A* conf
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution.
NeurIPS
Minghan Li, Xilun Chen, Ari Holtzman, Beidi Chen, Jimmy Lin, Scott Yih, Victoria Lin
2023 — conf
Adapting Pretrained Text-to-Text Models for Long Text Sequences.
EMNLP (Findings)
Wenhan Xiong, Anchit Gupta, Shubham Toshniwal, Yashar Mehdad, Scott Yih
2023 J jnl
In-Context Pretraining: Language Modeling Beyond Document Boundaries.
CoRR
Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Scott Yih, Mike Lewis
2023 A* conf
InCoder: A Generative Model for Code Infilling and Synthesis.
ICLR
Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, Mike Lewis
2023 J jnl
RA-DIT: Retrieval-Augmented Dual Instruction Tuning.
CoRR
Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Rich James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Scott Yih
2023 J jnl
Reimagining Retrieval Augmented Language Models for Answering Queries.
CoRR
Wang-Chiew Tan, Yuliang Li, Pedro Rodriguez, Richard James, Xi Victoria Lin, Alon Y. Halevy, Scott Yih
2022 A* conf
Autoregressive Search Engines: Generating Substrings as Document Identifiers.
NeurIPS
Michele Bevilacqua, Giuseppe Ottaviano, Patrick Lewis, Scott Yih, Sebastian Riedel, Fabio Petroni
2022 A* conf
BiT: Robustly Binarized Multi-distilled Transformer.
NeurIPS
Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad
2022 J jnl
BiT: Robustly Binarized Multi-distilled Transformer.
CoRR
Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad
2022 — conf
Boosted Dense Retriever.
NAACL-HLT
Patrick Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Scott Yih, Sebastian Riedel
2022 — conf
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training.
NAACL-HLT (Findings)
Patrick Huber, Armen Aghajanyan, Barlas Oguz, Dmytro Okhonko, Scott Yih, Sonal Gupta, Xilun Chen
2022 — conf
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings.
NAACL-HLT
Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-wen Li, Scott Yih, Yoon Kim, James R. Glass
2022 — conf
Domain-matched Pre-training Tasks for Dense Retrieval.
NAACL-HLT (Findings)
Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad
2022 — conf
On Continual Model Refinement in Out-of-Distribution Data Streams.
ACL (1)
Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Scott Yih
2022 — conf
Simple Local Attentions Remain Competitive for Long-Context Tasks.
NAACL-HLT
Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Scott Yih, Yashar Mehdad
2022 — conf
UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering.
NAACL-HLT (Findings)
Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih
2022 — conf
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning.
ACL (1)
Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Scott Yih, Madian Khabsa
2021 A* conf
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.
ICLR
Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz
2021 — conf
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation.
EMNLP (1)
Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Scott Yih, Yashar Mehdad, Srini Iyer
2020 J jnl
Unified Open-Domain Question Answering with Structured and Unstructured Knowledge.
CoRR
Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih
2017 — ed.
Proceedings of the 2nd Workshop on Representation Learning for NLP, Rep4NLP@ACL 2017, Vancouver, Canada, August 3, 2017
Rep4NLP@ACL
Phil Blunsom, Antoine Bordes, Kyunghyun Cho, Shay B. Cohen, Chris Dyer, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Yih
2008 — conf
Personalized Spam Filtering for Gray Mail.
CEAS
Ming-Wei Chang, Scott Yih, Robert McCann
2007 — conf
Improve Spam Filtering by Detecting Gray Mail.
CEAS
Scott Yih, Robert McCann, Alek Kolcz