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  • News
    • Obtained PhD and joined Prescient Design at Genentech/Roche
    • New preprint on new output paradigm for LLMs
    • Presenting at AAAI 2025 🇺🇸
    • Call for papers for the AAAI Symposium on LLM Agents for Scientific Discovery
    • Presenting at NeurIPS 2024 🇨🇦
    • New preprint using KG structure as inspiration for reasoning
    • 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
    • Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction
    • MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding
    • MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design
    • 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
    • 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
    • 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
  • Calendar
  • Resources
    • CS188 Natural Language Processing Discussion
    • CS31 Introduction to Computer Science I Discussion
    • CS32 Introduction to Computer Science II Discussion
    • CS35L Software Construction Discussion

Call for papers for the AAAI Symposium on LLM Agents for Scientific Discovery

Jan 20, 2025

We are calling for papers and participation for the AAAI 2025 Spring Symposium on LLM Agents for Scientific Discovery. More details can be found here.

Last updated on Jan 20, 2025
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← Presenting at AAAI 2025 🇺🇸 Jan 28, 2025
Presenting at NeurIPS 2024 🇨🇦 Dec 9, 2024 →

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