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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

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