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Publication search results
found 52 matches
- 2023
- Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman:
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. ACL (1) 2023: 16334-16368 - Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Vinayak Bhalerao, Christopher L. Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez:
Pretraining Language Models with Human Preferences. ICML 2023: 17506-17533 - Yanqi Cheng, Lihao Liu, Shujun Wang, Yueming Jin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness. TML4H 2023: 177-189 - Chun-Wun Cheng, Christina Runkel, Lihao Liu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Continuous U-Net: Faster, Greater and Noiseless. CoRR abs/2302.00626 (2023) - Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Bhalerao, Christopher L. Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez:
Pretraining Language Models with Human Preferences. CoRR abs/2302.08582 (2023) - Angelica Chen, David M. Dohan, David R. So:
EvoPrompting: Language Models for Code-Level Neural Architecture Search. CoRR abs/2302.14838 (2023) - Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - Angelica Chen, Jérémy Scheurer, Tomasz Korbak, Jon Ander Campos, Jun Shern Chan, Samuel R. Bowman, Kyunghyun Cho, Ethan Perez:
Improving Code Generation by Training with Natural Language Feedback. CoRR abs/2303.16749 (2023) - Jérémy Scheurer, Jon Ander Campos, Tomasz Korbak, Jun Shern Chan, Angelica Chen, Kyunghyun Cho, Ethan Perez:
Training Language Models with Language Feedback at Scale. CoRR abs/2303.16755 (2023) - Angelica Chen, Jason Phang, Alicia Parrish, Vishakh Padmakumar, Chen Zhao, Samuel R. Bowman, Kyunghyun Cho:
Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs. CoRR abs/2305.14279 (2023) - Michael Y. Hu, Angelica Chen, Naomi Saphra, Kyunghyun Cho:
Latent State Models of Training Dynamics. CoRR abs/2308.09543 (2023) - Angelica Chen, Ravid Schwartz-Ziv, Kyunghyun Cho, Matthew L. Leavitt, Naomi Saphra:
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs. CoRR abs/2309.07311 (2023) - 2022
- Tao Wei, Angelica I. Avilés-Rivero, Shuo Wang
, Yuan Huang
, Fiona J. Gilbert
, Carola-Bibiane Schönlieb, Chang Wen Chen:
Beyond fine-tuning: Classifying high resolution mammograms using function-preserving transformations. Medical Image Anal. 82: 102618 (2022) - Dolzodmaa Davaasuren
, Yintong Chen
, Leila Jaafar, Rayna Marshall, Angelica L. Dunham, Charles T. Anderson
, James Z. Wang
:
Automated 3D segmentation of guard cells enables volumetric analysis of stomatal biomechanics. Patterns 3(12): 100627 (2022) - Alicia Parrish, Angelica Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Thompson, Phu Mon Htut, Samuel R. Bowman:
BBQ: A hand-built bias benchmark for question answering. ACL (Findings) 2022: 2086-2105 - Alex Wang, Richard Yuanzhe Pang, Angelica Chen, Jason Phang, Samuel R. Bowman:
SQuALITY: Building a Long-Document Summarization Dataset the Hard Way. EMNLP 2022: 1139-1156 - Pedram Agand, Mahdi Taherahmadi, Angelica Lim, Mo Chen:
Human Navigational Intent Inference with Probabilistic and Optimal Approaches. ICRA 2022: 8562-8568 - Saba Akhyani, Mehryar Abbasi Boroujeni, Mo Chen, Angelica Lim:
Towards Inclusive HRI: Using Sim2Real to Address Underrepresentation in Emotion Expression Recognition. IROS 2022: 9132-9139 - Payam Jome Yazdian, Mo Chen, Angelica Lim:
Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture Generation. IROS 2022: 3100-3107 - Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting. MIUA 2022: 130-138 - Angelica Chen, Vicky Zayats, Daniel D. Walker, Dirk Padfield:
Teaching BERT to Wait: Balancing Accuracy and Latency for Streaming Disfluency Detection. NAACL-HLT 2022: 827-838 - Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, Nikita Nangia, Jason Phang, Angelica Chen, Vishakh Padmakumar, Johnny Ma, Jana Thompson, He He, Samuel R. Bowman:
QuALITY: Question Answering with Long Input Texts, Yes! NAACL-HLT 2022: 5336-5358 - Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting. CoRR abs/2203.00157 (2022) - Ryan G. Gomes, Bellington Vwalika, Chace Lee, Angelica Willis, Marcin Sieniek, Joan T. Price, Christina Chen, Margaret P. Kasaro, James A. Taylor, Elizabeth M. Stringer, Scott Mayer McKinney, Ntazana Sindano, George E. Dahl, William Goodnight III, Justin Gilmer, Benjamin H. Chi, Charles Lau, Terry Spitz, T. Saensuksopa, Kris Liu, Jonny Wong, Rory Pilgrim, Akib Uddin, Greg Corrado, Lily Peng, Katherine Chou, Daniel Tse, Jeffrey S. A. Stringer, Shravya Shetty:
AI system for fetal ultrasound in low-resource settings. CoRR abs/2203.10139 (2022) - Chace Lee, Angelica Willis, Christina Chen, Marcin Sieniek, Akib Uddin, Jonny Wong, Rory Pilgrim, Katherine Chou, Daniel Tse, Shravya Shetty, Ryan G. Gomes:
Enabling faster and more reliable sonographic assessment of gestational age through machine learning. CoRR abs/2203.11903 (2022) - Alicia Parrish, Harsh Trivedi, Ethan Perez, Angelica Chen, Nikita Nangia, Jason Phang, Samuel R. Bowman:
Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions. CoRR abs/2204.05212 (2022) - Jérémy Scheurer, Jon Ander Campos, Jun Shern Chan, Angelica Chen, Kyunghyun Cho, Ethan Perez:
Learning from Natural Language Feedback. CoRR abs/2204.14146 (2022) - Angelica Chen, Vicky Zayats, Daniel D. Walker, Dirk Padfield:
Teaching BERT to Wait: Balancing Accuracy and Latency for Streaming Disfluency Detection. CoRR abs/2205.00620 (2022) - Alex Wang, Richard Yuanzhe Pang, Angelica Chen, Jason Phang, Samuel R. Bowman:
SQuALITY: Building a Long-Document Summarization Dataset the Hard Way. CoRR abs/2205.11465 (2022) - 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, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, et al.:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022)
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