A 660 MB/s interface megacell portable circuit in 0.3 μm-0.7 μm CMOS ASIC. - Kevin S. Donnelly; Yiu-Fai Chan; John T. C. Ho; Chanh Tran; Samir Patel; Benedict Lau; Jun Kim; Pak Shing Chau; Charlie Huang; Jason Wei; Leung Yu; Richard Tarver; et al. (IEEE J. Solid State Circuits, 1996)

A 2.6-GByte/s multipurpose chip-to-chip interface. - Benedict Lau; Yiu-Fai Chan; Alfredo Moncayo; John T. C. Ho; Mike Allen; Joe Salmon; Jonathan Liu; Manish Muthal; Cliff Lee; Tim Nguyen; Bryce Horine; Mike Leddige; et al. (IEEE J. Solid State Circuits, 1998)

A 0.4-4-Gb/s CMOS quad transceiver cell using on-chip regulated dual-loop PLLs. - Kun-Yung Ken Chang; Jason Wei; Charlie Huang; Simon Li; Kevin S. Donnelly; Mark Horowitz; Yingxuan Li; Stefanos Sidiropoulos (IEEE J. Solid State Circuits, 2003)

Equalization and clock recovery for a 2.5-10-Gb/s 2-PAM/4-PAM backplane transceiver cell. - Jared L. Zerbe; Carl W. Werner; Vladimir Stojanovic; Fred Chen; Jason Wei; Grace Tsang; Dennis Kim; William F. Stonecypher; Andrew Ho; Timothy P. Thrush; Ravi T. Kollipara; Mark A. Horowitz; et al. (IEEE J. Solid State Circuits, 2003)

Autonomous dual-mode (PAM2/4) serial link transceiver with adaptive equalization and data recovery. - Vladimir Stojanovic; Andrew Ho; Bruno W. Garlepp; Fred Chen; Jason Wei; Grace Tsang; Elad Alon; Ravi T. Kollipara; Carl W. Werner; Jared L. Zerbe; Mark A. Horowitz (IEEE J. Solid State Circuits, 2005)

A 12.8-Gb/s/link Tri-Modal Single-Ended Memory Interface. - Amir Amirkhany; Jason Wei; Navin K. Mishra; Jie Shen 010; Wendemagegnehu T. Beyene; Catherine Chen 005; T. J. Chin; Deborah Dressler; Charlie Huang; Vijay P. Gadde; Mohammad Hekmat; Kambiz Kaviani; et al. (IEEE J. Solid State Circuits, 2012)

A Tri-Modal 20-Gbps/Link Differential/DDR3/GDDR5 Memory Interface. - Kambiz Kaviani; Ting Wu 003; Jason Wei; Amir Amirkhany; Jie Shen 010; T. J. Chin; Chintan Thakkar; Wendemagegnehu T. Beyene; Norman Chan; Catherine Chen 005; Bing Ren Chuang; Deborah Dressler; et al. (IEEE J. Solid State Circuits, 2012)

A Fast-Lock, Jitter Filtering All-Digital DLL Based Burst-Mode Memory Interface. - Masum Hossain; Farrukh Aquil; Pak Shing Chau; Brian Tsang; Phuong Le; Jason Wei; Teva Stone; Barry Daly; Chanh Tran; John C. Eble; Kurt Knorpp; Jared Zerbe (IEEE J. Solid State Circuits, 2014)

A 25 GHz Fast-Lock Digital LC PLL With Multiphase Output Using a Magnetically-Coupled Loop of Oscillators. - Mohammad Hekmat; Farshid Aryanfar; Jason Wei; Vijay P. Gadde; Reza Navid (IEEE J. Solid State Circuits, 2015)

Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images. - Naofumi Tomita; Behnaz Abdollahi; Jason Wei; Bing Ren; Arief A. Suriawinata; Saeed Hassanpour (CoRR, 2018)

Generative Image Translation for Data Augmentation in Colorectal Histopathology Images. - Jerry W. Wei; Arief A. Suriawinata; Louis J. Vaickus; Bing Ren; Xiaoying Liu 002; Jason Wei; Saeed Hassanpour (ML4H@NeurIPS, 2019)

An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data. - Lili Wang; Chongyang Gao; Jason Wei; Weicheng Ma; Ruibo Liu; Soroush Vosoughi (W-NUT@EMNLP, 2020)

Difficulty Translation in Histopathology Images. - Jerry W. Wei; Arief A. Suriawinata; Xiaoying Liu 002; Bing Ren; Mustafa Nasir-Moin; Naofumi Tomita; Jason Wei; Saeed Hassanpour (AIME, 2020)

Narrative Origin Classification of Israeli-Palestinian Conflict Texts. - Jason Wei; Eugene Santos Jr. (FLAIRS, 2020)

What Are People Asking About COVID-19? A Question Classification Dataset. - Jerry W. Wei; Chengyu Huang 002; Soroush Vosoughi; Jason Wei (CoRR, 2020)

Mitigating Political Bias in Language Models through Reinforced Calibration. - Ruibo Liu; Chenyan Jia; Jason Wei; Guangxuan Xu; Lili Wang; Soroush Vosoughi (AAAI, 2021)

A Survey of Data Augmentation Approaches for NLP. - Steven Y. Feng; Varun Gangal; Jason Wei; Sarath Chandar; Soroush Vosoughi; Teruko Mitamura; Eduard H. Hovy (ACL/IJCNLP (Findings), 2021)

Modulating Language Models with Emotions. - Ruibo Liu; Jason Wei; Chenyan Jia; Soroush Vosoughi (ACL/IJCNLP (Findings), 2021)

Language Model Augmented Relevance Score. - Ruibo Liu; Jason Wei; Soroush Vosoughi (ACL/IJCNLP (1), 2021)

A Cognitive Regularizer for Language Modeling. - Jason Wei; Clara Meister; Ryan Cotterell (ACL/IJCNLP (1), 2021)

A Petri Dish for Histopathology Image Analysis. - Jerry W. Wei; Arief A. Suriawinata; Bing Ren; Xiaoying Liu 002; Mikhail Lisovsky; Louis J. Vaickus; Charles Brown; Michael Baker; Naofumi Tomita; Lorenzo Torresani; Jason Wei; Saeed Hassanpour (AIME, 2021)

Text Augmentation in a Multi-Task View. - Jason Wei; Chengyu Huang 002; Shiqi Xu; Soroush Vosoughi (EACL, 2021)

Good-Enough Example Extrapolation. - Jason Wei (EMNLP (1), 2021)

Frequency Effects on Syntactic Rule Learning in Transformers. - Jason Wei; Dan Garrette; Tal Linzen; Ellie Pavlick (EMNLP (1), 2021)

Linguistic Complexity Loss in Text-Based Therapy. - Jason Wei; Kelly Finn; Emma Templeton; Thalia Wheatley; Soroush Vosoughi (NAACL-HLT, 2021)

Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning. - Jason Wei; Chengyu Huang 002; Soroush Vosoughi; Yu Cheng; Shiqi Xu (NAACL-HLT, 2021)

Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. - Jerry W. Wei; Arief A. Suriawinata; Bing Ren; Xiaoying Liu 002; Mikhail Lisovsky; Louis J. Vaickus; Charles Brown; Michael Baker; Mustafa Nasir-Moin; Naofumi Tomita; Lorenzo Torresani; Jason Wei; et al. (WACV, 2021)

A Recipe for Arbitrary Text Style Transfer with Large Language Models. - Emily Reif; Daphne Ippolito; Ann Yuan; Andy Coenen; Chris Callison-Burch; Jason Wei (ACL (2), 2022)

Calibrating Histopathology Image Classifiers Using Label Smoothing. - Jerry W. Wei; Lorenzo Torresani; Jason Wei; Saeed Hassanpour (AIME, 2022)

The MultiBERTs: BERT Reproductions for Robustness Analysis. - Thibault Sellam; Steve Yadlowsky; Ian Tenney; Jason Wei; Naomi Saphra; Alexander D'Amour; Tal Linzen; Jasmijn Bastings; Iulia Raluca Turc; Jacob Eisenstein; Dipanjan Das 001; Ellie Pavlick (ICLR, 2022)

Finetuned Language Models are Zero-Shot Learners. - Jason Wei; Maarten Bosma; Vincent Y. Zhao; Kelvin Guu; Adams Wei Yu; Brian Lester; Nan Du 002; Andrew M. Dai; Quoc V. Le (ICLR, 2022)

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. - Jason Wei; Xuezhi Wang 002; Dale Schuurmans; Maarten Bosma; Brian Ichter; Fei Xia 002; Ed H. Chi; Quoc V. Le; Denny Zhou (NeurIPS, 2022)

Quantifying and alleviating political bias in language models. - Ruibo Liu; Chenyan Jia; Jason Wei; Guangxuan Xu; Soroush Vosoughi (Artif. Intell., 2022)

Chain of Thought Prompting Elicits Reasoning in Large Language Models. - Jason Wei; Xuezhi Wang 002; Dale Schuurmans; Maarten Bosma; Ed H. Chi; Quoc Le 001; Denny Zhou (CoRR, 2022)

Self-Consistency Improves Chain of Thought Reasoning in Language Models. - Xuezhi Wang 002; Jason Wei; Dale Schuurmans; Quoc V. Le; Ed H. Chi; Denny Zhou (CoRR, 2022)

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models. - Denny Zhou; Nathanael Schärli; Le Hou; Jason Wei; Nathan Scales; Xuezhi Wang 002; Dale Schuurmans; Olivier Bousquet; Quoc Le 001; Ed H. Chi (CoRR, 2022)

Rationale-Augmented Ensembles in Language Models. - Xuezhi Wang 002; Jason Wei; Dale Schuurmans; Quoc V. Le; Ed H. Chi; Denny Zhou (CoRR, 2022)

Scaling Instruction-Finetuned Language Models. - Hyung Won Chung; Le Hou; Shayne Longpre; Barret Zoph; Yi Tay; William Fedus; Eric Li; Xuezhi Wang 002; Mostafa Dehghani 001; Siddhartha Brahma; Albert Webson; Shixiang Shane Gu; et al. (CoRR, 2022)

Inverse scaling can become U-shaped. - Jason Wei; Yi Tay; Quoc V. Le (CoRR, 2022)

Large Language Models Encode Clinical Knowledge. - Karan Singhal; Shekoofeh Azizi; Tao Tu 001; S. Sara Mahdavi; Jason Wei; Hyung Won Chung; Nathan Scales; Ajay Kumar Tanwani; Heather Cole-Lewis; Stephen Pfohl; Perry Payne; Martin Seneviratne; et al. (CoRR, 2022)

Emergent Abilities of Large Language Models. - Jason Wei; Yi Tay; Rishi Bommasani; Colin Raffel; Barret Zoph; Sebastian Borgeaud; Dani Yogatama; Maarten Bosma; Denny Zhou; Donald Metzler; Ed H. Chi; Tatsunori Hashimoto; et al. (Trans. Mach. Learn. Res., 2022)

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them. - Mirac Suzgun; Nathan Scales; Nathanael Schärli; Sebastian Gehrmann; Yi Tay; Hyung Won Chung; Aakanksha Chowdhery; Quoc V. Le; Ed H. Chi; Denny Zhou; Jason Wei (ACL (Findings), 2023)

Transcending Scaling Laws with 0.1% Extra Compute. - Yi Tay; Jason Wei; Hyung Won Chung; Vinh Q. Tran 002; David R. So; Siamak Shakeri; Xavier Garcia; Huaixiu Steven Zheng; Jinfeng Rao; Aakanksha Chowdhery; Denny Zhou; Donald Metzler; et al. (EMNLP, 2023)

Inverse Scaling Can Become U-Shaped. - Jason Wei; Najoung Kim; Yi Tay; Quoc V. Le (EMNLP, 2023)

Self-Consistency Improves Chain of Thought Reasoning in Language Models. - Xuezhi Wang 002; Jason Wei; Dale Schuurmans; Quoc V. Le; Ed H. Chi; Sharan Narang; Aakanksha Chowdhery; Denny Zhou (ICLR, 2023)

Mind's Eye: Grounded Language Model Reasoning through Simulation. - Ruibo Liu; Jason Wei; Shixiang Shane Gu; Te-Yen Wu; Soroush Vosoughi; Claire Cui; Denny Zhou; Andrew M. Dai (ICLR, 2023)

Language models are multilingual chain-of-thought reasoners. - Freda Shi; Mirac Suzgun; Markus Freitag; Xuezhi Wang 002; Suraj Srivats; Soroush Vosoughi; Hyung Won Chung; Yi Tay; Sebastian Ruder; Denny Zhou; Dipanjan Das 001; Jason Wei (ICLR, 2023)

UL2: Unifying Language Learning Paradigms. - Yi Tay; Mostafa Dehghani 001; Vinh Q. Tran 002; Xavier Garcia; Jason Wei; Xuezhi Wang 002; Hyung Won Chung; Dara Bahri; Tal Schuster; Huaixiu Steven Zheng; Denny Zhou; Neil Houlsby; et al. (ICLR, 2023)

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models. - Denny Zhou; Nathanael Schärli; Le Hou; Jason Wei; Nathan Scales; Xuezhi Wang 002; Dale Schuurmans; Claire Cui; Olivier Bousquet; Quoc V. Le; Ed H. Chi (ICLR, 2023)

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning. - Shayne Longpre; Le Hou; Tu Vu; Albert Webson; Hyung Won Chung; Yi Tay; Denny Zhou; Quoc V. Le; Barret Zoph; Jason Wei; Adam Roberts (ICML, 2023)

Larger language models do in-context learning differently. - Jerry W. Wei; Jason Wei; Yi Tay; Dustin Tran; Albert Webson; Yifeng Lu; Xinyun Chen; Hanxiao Liu; Da Huang; Denny Zhou; Tengyu Ma 001 (CoRR, 2023)

Foundation Models for Decision Making: Problems, Methods, and Opportunities. - Sherry Yang 001; Ofir Nachum; Yilun Du; Jason Wei; Pieter Abbeel; Dale Schuurmans (CoRR, 2023)

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. - Sheng Shen 001; Le Hou; Yanqi Zhou; Nan Du 002; Shayne Longpre; Jason Wei; Hyung Won Chung; Barret Zoph; William Fedus; Xinyun Chen; Tu Vu; Yuexin Wu; et al. (CoRR, 2023)

PaLM: Scaling Language Modeling with Pathways. - Aakanksha Chowdhery; Sharan Narang; Jacob Devlin; Maarten Bosma; Gaurav Mishra; Adam Roberts; Paul Barham 001; Hyung Won Chung; Charles Sutton; Sebastian Gehrmann; Parker Schuh; Kensen Shi; et al. (J. Mach. Learn. Res., 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Investor Attention and Option Returns. - Siu-Kai Choy; Jason Wei (Manag. Sci., 2023)

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation. - Tu Vu; Mohit Iyyer; Xuezhi Wang 002; Noah Constant; Jerry W. Wei; Jason Wei; Chris Tar; Yun-Hsuan Sung; Denny Zhou; Quoc V. Le; Thang Luong (ACL (Findings), 2024)

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. - Sheng Shen 001; Le Hou; Yanqi Zhou; Nan Du 002; Shayne Longpre; Jason Wei; Hyung Won Chung; Barret Zoph; William Fedus; Xinyun Chen; Tu Vu; Yuexin Wu; et al. (ICLR, 2024)

A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity. - Shayne Longpre; Gregory Yauney; Emily Reif; Katherine Lee; Adam Roberts; Barret Zoph; Denny Zhou; Jason Wei; Kevin Robinson; David Mimno; Daphne Ippolito (NAACL-HLT, 2024)

Measuring short-form factuality in large language models. - Jason Wei; Nguyen Karina; Hyung Won Chung; Yunxin Joy Jiao; Spencer Papay; Amelia Glaese; John Schulman; William Fedus (CoRR, 2024)

Deliberative Alignment: Reasoning Enables Safer Language Models. - Melody Y. Guan; Manas Joglekar; Eric Wallace; Saachi Jain; Boaz Barak; Alec Helyar; Rachel Dias; Andrea Vallone; Hongyu Ren; Jason Wei; Hyung Won Chung; Sam Toyer; et al. (CoRR, 2024)

Scaling Instruction-Finetuned Language Models. - Hyung Won Chung; Le Hou; Shayne Longpre; Barret Zoph; Yi Tay; William Fedus; Yunxuan Li; Xuezhi Wang 002; Mostafa Dehghani 001; Siddhartha Brahma; Albert Webson; Shixiang Shane Gu; et al. (J. Mach. Learn. Res., 2024)

BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents. - Jason Wei; Zhiqing Sun; Spencer Papay; Scott McKinney; Jeffrey Han; Isa Fulford; Hyung Won Chung; Alex Tachard Passos; William Fedus; Amelia Glaese (CoRR, 2025)

HealthBench: Evaluating Large Language Models Towards Improved Human Health. - Rahul K. Arora; Jason Wei; Rebecca Soskin Hicks; Preston Bowman; Joaquin Quiñonero Candela; Foivos Tsimpourlas; Michael Sharman; Meghan Shah; Andrea Vallone; Alex Beutel; Johannes Heidecke; Karan Singhal (CoRR, 2025)