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    • Presenting at NeurIPS 2024 🇨🇦
    • Awarded the J.P. Morgan Chase AI PhD Fellowship 🏆
    • Modeling Unobservable Susceptibility at EMNLP 2024
    • Awarded the Amazon Fellowship 🏆
    • Presenting at NAACL 2024 🇲🇽
    • Presenting at AAAI 2024 🇨🇦
    • New preprint on LLM ownership protection
    • New preprint on bias mitigation
    • Presenting at INTERSPEECH 2023 🇮🇪
    • Data Science for ALL
    • Presenting at ACL 2023 🇨🇦
    • New preprints on data generation with LLMs and LLM's backdoor attack
    • New INTERSPEECH paper 🇮🇪
    • New preprints on biomedical relation extraction and cross-document relation extraction
    • Attending NeurIPS
    • Presenting at AKBC 2022 🇬🇧
    • New preprint on clinical event extraction
    • New preprint on indirect supervision for relation extraction
    • Presenting at EMNLP 2021 🇩🇴
    • Presenting at NAACL 2021 🌎
    • Handbook at ACL 2020 🌎
  • Publications
    • Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection
    • CliBench: A Multifaceted and Multigranular Evaluation of Large Language Models for Clinical Decision Making
    • Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction
    • GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation
    • GraphVis: Boosting LLMs with Visual Knowledge Graph Integration
    • Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach
    • Are Large-Language Models Graph Algorithmic Reasoners?
    • CLIMB: A Benchmark of Clinical Bias in Large Language Models
    • MIRAI: Evaluating LLM Agents for Event Forecasting
    • MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding
    • Improving Event Definition Following For Zero-Shot Event Detection
    • Mitigating Bias for Question Answering Models by Tracking Bias Influence
    • Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
    • Instructional Fingerprinting of Large Language Models
    • STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models
    • MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways
    • DICE: Data-Efficient Clinical Event Extraction with Generative Models
    • Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?
    • Multi-hop Evidence Retrieval for Cross-document Relation Extraction
    • Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning
    • Summarization as Indirect Supervision for Relation Extraction
    • Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic Spaces
    • HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning
    • EventPlus: A Temporal Event Understanding Pipeline
    • Dual Memory Network Model for Sentiment Analysis of Review Text
    • Implicit Discourse Relation Identification for Open-domain Dialogues
    • Dual Memory Network Model for Biased Product Review Classification
    • BlocHIE: a BLOCkchain-based platform for Healthcare Information Exchange
  • Resources
    • CS188 Natural Language Processing Discussion
    • CS31 Introduction to Computer Science I Discussion
    • CS32 Introduction to Computer Science II Discussion
    • CS35L Software Construction Discussion
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Data Science for ALL

Jul 10, 2023

Check out course materials for the 2-week summer program “Data Science for ALL” that were just delivered by our joint team from UCI and UCLA!

Last updated on Jul 10, 2023
Resources Teaching
← Presenting at INTERSPEECH 2023 🇮🇪 Aug 1, 2023
Presenting at ACL 2023 🇨🇦 Jul 1, 2023 →

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