★ News ★

July'25:

• Paper accepted to COLM'25!

  • PolyGuard: A Multilingual Safety Moderation Tool for 17 Languages

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• Organizing NeurIPS'25 Workshop on Learning from Time Series for Healthcare

June'25:

• Paper accepted to Rehabilitation Psychology on biased portrayals of disability by VLMs

• New preprints:

  • ModelCitizens: Representing Community Voices in Online Safety

  • KScope: A Framework for Characterizing the Knowledge Status of Language Models

• Featured in faculty research spotlight

May'25:

• 4 papers accepted to ACL'25!

  • Scaling laws for LLM quantization

  • Isolating and editing math skills in LLMs

  • Efficient knowledge editing

  • Model editing with external graph-based memory

• 3 papers accepted to ICML'25!

  • WikiBigEdit: Understanding the limits of lifelong knowlege editing

  • BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing

  • Medical Large Language Model Benchmarks Should Prioritize Construct Validity (Oral)

March'25:

• Our AAAI'25 KnowFM Workshop paper was awarded the Outstanding Paper Award.

• New preprints:

  • Inferring event descriptions from time series with language models

  • Dialect bias in LLM reasoning

  • Constrained diffusion models

  • Survey on multi-modal time series models

Feb'25:

• New preprints on empirical investigations of sparse autoencoders and lifelong model editing

• Paper accepted to CPAL'25 on Sparse MoE

Jan'25:

• I have been awarded a CapitalOne Faculty Fellowship to work on Time Series Reasoning!

• 2 papers accepted to ICLR'25!

  • Composable Interventions for Language Models - Congrats, Arinbjorn!

  • Learning from Time Series under Label Noise

• Paper on sequential knowledge editing accepted to Workshop on Knowledgeable Foundation Models at AAAI 25

• New preprint on lifelong model editing

Dec'24:

• Invited talks at UVA's Genome Sciences Seminar Series and UVA's Darden Business School 

• New preprint on foundation models for protein phenotypes 

Nov'24:

• Lab member Xu Ouyang was awarded an iPRIME PhD Fellowship --- congrats Xu!

• New preprint on scaling laws for LLM quantization

Oct'24:

• New preprints:

  • attacking VLMs with model edits

  • LLMs resisting misinformation requests

  • high-dimensional action spaces in Offline RL. 

• Paper accepted to IEEE BigData on spike train classification

Sep'24:

• 3 papers accepted to NeurIPS'24!

  • Are Language Models Actually Useful for Time Series Forecasting? (Spotlight!) - Congrats, Mingtian!

  • Test-Time Debiasing of Vision-Language Embeddings

  • UniTS:  A Unified Multi-Task Time Series Model

• 3 papers accepted to EMNLP'24!

• MATHWELL: Generating Educational Math Word Problems with Teacher Annotations - Congrats, Bryan!

• Language Models Still Struggle to Zero-shot Reason about Time Series

• Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks

Aug'23:

• Paper accepted to TMLR on using LLMs for robust text classification

July'24:

• Paper accepted to COLM'24 on multilingual toxicity in LLMs.

• Paper accepted to AIES'24 on detecting implicit social biases in VL models

July'24:

• New preprints:

  • composable interventions for LLMs

  • extracting social determinants of health with LLMs

• Paper accepted to MICCAI'24 on federated learning for medical imaging

May'24:

• Paper accepted to ACL'24 on categorical knowledge editing for LLMs

Apr'24:

• Nature Medicine paper on bias in computational pathology

Spring'24: Invited talks at Dartmouth, IBM Research, UCSF/UC Berkeley, and the University of Alabama, Birmingham