Tatsunori Hashimoto

62 papers · 2015–2025 · 11 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (7) 🌈 Renaissance Researcher (7) 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (72) 🌍 Conference Polyglot (10) 🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🏆 Keyword Champion 🤝 Dynamic Duo (17) 👑 Triple Crown 👥 Mega-Team (56) 🗃️ Keyword Collector (169) ❓ The Questioner (5) ⚡ Prolific Year (16) 💎 Century Club (61) 🔥 Unstoppable (8) 📈 Trend Setter

Conferences

ICLR (19) ICML (19) ACL (7) NIPS (4) AISTATS (3) IJCNLP (3) EMNLP (2) NAACL (2) AACL (1) EACL (1) JMLR (1)

Top co-authors

Percy Liang (17) Xiang Lisa Li (8) Esin Durmus (7) Faisal Ladhak (7) Dan Jurafsky (6) James Zou (4) Yann Dubois (4) Tianyi Zhang (3) Yi Sun (3) Tommi Jaakkola (3)

Keywords

language model (8) large language model (6) text summarization (3) domain adaptation (3) natural language generation (3) hallucination detection (3) spurious correlation (3) evaluation metrics (2) jensen-shannon divergence (2) conversational uptake (2) continual pre-training (2) latent variable model (2) scaling law (2) educational outcome (2) text generation (2) random walk (2) cross-lingual transfer (2) distributionally robust optimization (2) uncertainty quantification (2) transfer learning (1)

Papers

Improving Pretraining Data Using Perplexity Correlations ICLR 2025

AutoBencher: Towards Declarative Benchmark Construction ICLR 2025

Locality Alignment Improves Vision-Language Models ICLR 2025

s1: Simple test-time scaling EMNLP 2025

Language Confusion and Multilingual Performance: A Case Study of Thai-Adapted Large Language Models AACL 2025

Benchmarking Distributional Alignment of Large Language Models NAACL 2025

Language Confusion and Multilingual Performance: A Case Study of Thai-Adapted Large Language Models IJCNLP 2025

Learning to (Learn at Test Time): RNNs with Expressive Hidden States ICML 2025

Eliciting Language Model Behaviors with Investigator Agents ICML 2025

Auditing Prompt Caching in Language Model APIs ICML 2025

Online Conformal Prediction via Online Optimization ICML 2025

Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers ICLR 2025

Synthetic continued pretraining ICLR 2025

On the Learnability of Watermarks for Language Models ICLR 2024

Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution NIPS 2024

Observational Scaling Laws and the Predictability of Langauge Model Performance NIPS 2024

Graph-based Uncertainty Metrics for Long-form Language Model Generations NIPS 2024

Proving Test Set Contamination in Black-Box Language Models ICLR 2024

One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention ICLR 2024

On the Fairness ROAD: Robust Optimization for Adversarial Debiasing ICLR 2024

Benchmarking and Improving Generator-Validator Consistency of Language Models ICLR 2024

Identifying the Risks of LM Agents with an LM-Emulated Sandbox ICLR 2024

Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions ICLR 2024

Linguistic Calibration of Long-Form Generations ICML 2024

Scaling Laws for the Value of Individual Data Points in Machine Learning ICML 2024

Understanding Finetuning for Factual Knowledge Extraction ICML 2024

Language Models with Conformal Factuality Guarantees ICML 2024

Trustless Audits without Revealing Data or Models ICML 2024

Removing RLHF Protections in GPT-4 via Fine-Tuning NAACL 2024

Contrastive Error Attribution for Finetuned Language Models ACL 2023

Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models EMNLP 2023

When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization EACL 2023

Evaluating Self-Supervised Learning via Risk Decomposition ICML 2023

Out-of-Domain Robustness via Targeted Augmentations ICML 2023

Whose Opinions Do Language Models Reflect? ICML 2023

Data Feedback Loops: Model-driven Amplification of Dataset Biases ICML 2023

Coder Reviewer Reranking for Code Generation ICML 2023

Foundation Models and Fair Use JMLR 2023

Is a Caption Worth a Thousand Images? A Study on Representation Learning ICLR 2023

TempLM: Distilling Language Models into Template-Based Generators ACL 2023

Contrastive Decoding: Open-ended Text Generation as Optimization ACL 2023

Privacy-Preserving Domain Adaptation of Semantic Parsers ACL 2023

Distributionally Robust Models with Parametric Likelihood Ratios ICLR 2022

Large Language Models Can Be Strong Differentially Private Learners ICLR 2022

Language modeling via stochastic processes ICLR 2022

Spurious Correlations in Reference-Free Evaluation of Text Generation ACL 2022

Is Importance Weighting Incompatible with Interpolating Classifiers? ICLR 2022

Identifiability Conditions for Domain Adaptation ICML 2022

Extending the WILDS Benchmark for Unsupervised Adaptation ICLR 2022

Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions IJCNLP 2021

Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions ACL 2021

Modeling the Second Player in Distributionally Robust Optimization ICLR 2021

Model Performance Scaling with Multiple Data Sources ICML 2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics IJCNLP 2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics ACL 2021

Robustness to Spurious Correlations via Human Annotations ICML 2020

Inferring Multidimensional Rates of Aging from Cross-Sectional Data AISTATS 2019

Fairness Without Demographics in Repeated Loss Minimization ICML 2018

Derivative Free Optimization Via Repeated Classification AISTATS 2018

Learning Population-Level Diffusions with Generative RNNs ICML 2016

From random walks to distances on unweighted graphs NIPS 2015

Metric recovery from directed unweighted graphs AISTATS 2015