Publications

DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications
- - Adam Ivankay
  - Mattia Rigotti
  - et al.
- 2023
- ACL 2023
Conference paper
The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers
- - Ariel Gera
  - Roni Friedman
  - et al.
- 2023
- ACL 2023
Conference paper
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
- - Subhajit Chaudhury
  - Sarathkrishna Swaminathan
  - et al.
- 2023
- ACL 2023
Conference paper
A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization
- - Lining Zhang
  - Simon Mille
  - et al.
- 2023
- ACL 2023
Conference paper
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications
- - Kevin Pei
  - Ishan Jindal
  - et al.
- 2023
- ACL 2023
Conference paper
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning
- - Shachar Don-Yehiya
  - Elad Venezian
  - et al.
- 2023
- ACL 2023
Conference paper
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations
- - Bingsheng Yao
  - Prithviraj Sen
  - et al.
- 2023
- ACL 2023
Conference paper
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems
- - Zishen Wan
  - Nandhini Chandramoorthy
  - et al.
- 2023
- DAC 2023
Conference paper
Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models
- - Myles Foley
  - Ambrish Rawat
  - et al.
- 2023
- ACL 2023
Conference paper
Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales
- - Paulina Toro Isaza
  - Guangxuan Xu
  - et al.
- 2023
- ACL 2023
Conference paper