Summary of A Practical Method For Generating String Counterfactuals, by Matan Avitan et al.
A Practical Method for Generating String Counterfactualsby Matan Avitan, Ryan Cotterell, Yoav Goldberg, Shauli RavfogelFirst…
A Practical Method for Generating String Counterfactualsby Matan Avitan, Ryan Cotterell, Yoav Goldberg, Shauli RavfogelFirst…
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphsby Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu…
When is Tree Search Useful for LLM Planning? It Depends on the Discriminatorby Ziru Chen,…
LLM-Assisted Crisis Management: Building Advanced LLM Platforms for Effective Emergency Response and Public Collaborationby Hakan…
Measuring and Controlling Instruction (In)Stability in Language Model Dialogsby Kenneth Li, Tianle Liu, Naomi Bashkansky,…
Language Models with Conformal Factuality Guaranteesby Christopher Mohri, Tatsunori HashimotoFirst submitted to arxiv on: 15…
Multi-modal Preference Alignment Remedies Degradation of Visual Instruction Tuning on Language Modelsby Shengzhi Li, Rongyu…
Direct Preference Optimization with an Offsetby Afra Amini, Tim Vieira, Ryan CotterellFirst submitted to arxiv…
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domainsby Yanis Labrak, Adrien…
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuningby Ming Li, Lichang Chen, Jiuhai Chen, Shwai…