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Conference and Workshop Papers
- 2024
[c3]Qixuan Zhang, Zhifeng Wang, Dylan Zhang, Wenjia Niu, Sabrina B. Caldwell, Tom Gedeon, Yang Liu, Zhenyue Qin:
Visual Prompting in LLMs for Enhancing Emotion Recognition. EMNLP 2024: 4484-4499- [c2]Dylan Zhang
, Xuchao Zhang, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan:
LM-PACE: Confidence Estimation by Large Language Models for Effective Root Causing of Cloud Incidents. SIGSOFT FSE Companion 2024: 388-398 - 2023
- [c1]Dylan Zhang, Homin Park, Shili Xiang:
Linking Mobility Traces of the Same User Across Different Datasets. SOLI 2023: 1-8
Informal and Other Publications
- 2024
- [i7]Dylan Zhang, Justin Wang, François Charton:
Instruction Diversity Drives Generalization To Unseen Tasks. CoRR abs/2402.10891 (2024) - [i6]Dylan Zhang, Justin Wang, François Charton:
From Symbolic Tasks to Code Generation: Diversification Yields Better Task Performers. CoRR abs/2405.19787 (2024) - [i5]Dylan Zhang, Shizhe Diao, Xueyan Zou, Hao Peng:
PLUM: Preference Learning Plus Test Cases Yields Better Code Language Models. CoRR abs/2406.06887 (2024) - [i4]Alex Sanchez-Stern, Abhishek Varghese, Zhanna Kaufman, Dylan Zhang, Talia Ringer, Yuriy Brun:
QEDCartographer: Automating Formal Verification Using Reward-Free Reinforcement Learning. CoRR abs/2408.09237 (2024) - [i3]Qixuan Zhang, Zhifeng Wang, Dylan Zhang, Wenjia Niu, Sabrina B. Caldwell, Tom Gedeon, Yang Liu, Zhenyue Qin:
Visual Prompting in LLMs for Enhancing Emotion Recognition. CoRR abs/2410.02244 (2024) - [i2]Dylan Zhang, Justin Wang, François Charton:
Only-IF:Revealing the Decisive Effect of Instruction Diversity on Generalization. CoRR abs/2410.04717 (2024) - 2023
- [i1]Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan:
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis. CoRR abs/2309.05833 (2023)
Coauthor Index
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