
Tatsunori Hashimoto
Assistant Professor @ Stanford
summarization
evaluation
hallucination
bias
natural language generation
education
unsupervised
benchmarking
text generation
contrastive
conversation
language model
fine-tuning
decoding
dialogue
12
presentations
23
number of views
Presentations

Removing RLHF Protections in GPT-4 via Fine-Tuning
Qiusi Zhan and 5 other authors

Benchmarking Large Language Models for News Summarization
Tianyi Zhang and 5 other authors

Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models | VIDEO
Kaitlyn Zhou and 2 other authors

Understanding generalization for instruction following and black-box language models | VIDEO
Tatsunori Hashimoto

The first workshop on generalisation (benchmarking) in NLP Panel
Tatsunori Hashimoto and 2 other authors

Contrastive Decoding: Open-ended Text Generation as Optimization
Xiang Lisa Li and 7 other authors

Contrastive Error Attribution for Finetuned Language Models
Faisal Ladhak and 2 other authors

When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization
Faisal Ladhak and 6 other authors

When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization
Faisal Ladhak and 6 other authors

Spurious Correlations in Reference-Free Evaluation of Text Generation
Esin Durmus and 2 other authors

Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions
Dorottya Demszky and 6 other authors

On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies
Tianyi Zhang and 1 other author