Conference

Presenting at NAACL 2024 🇲🇽

Presenting three papers on bias, fairness and safety of Large Language Models at NAACL 2024 in Mexico City, including detecting and mitigating bias in QA models with ground-truth bias labels, fingerprinting LLMs, and a pilot study on injecting backdoors by instruction tuning data poisoning. Click for schedule and location details.

Jun 15, 2024

Presenting at AAAI 2024 🇨🇦

Presenting a demo and a poster at AAAI 2024 in Vancouver, including a demo on information diffusion via community-level information pathways and a poster on improving low-resource information extraction by structure-to-text data generation with Large Language Models.

Feb 22, 2024

Presenting at INTERSPEECH 2023 🇮🇪

Oral presentation of the conf paper: [Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning](PromptDST). In the collaboration work with [Amazon Alexa AI](https://www.amazon.science/research-areas/conversational-ai-natural-language-processing), we introduce [a dialogue state tracking model](pubs/ma-etal-2023-parameter) tuning less than 1% of LM parameters and achieves better low-resource performance with prompt tuning techniques.

Aug 1, 2023

Presenting at ACL 2023 🇨🇦

Presenting three papers at ACL 2023 in Toronto, including DICE: Data-Efficient Clinical Event Extraction with Generative Models, Multi-hop Evidence Retrieval for Cross-document Relation Extraction, and Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction? Click for schedule and location details.

Jul 1, 2023

New INTERSPEECH paper 🇮🇪

New INTERSPEECH paper! In the collaboration work with [Amazon Alexa AI](https://www.amazon.science/research-areas/conversational-ai-natural-language-processing), we introduce [a dialogue state tracking model](../publication/ma-etal-2023-parameter) tuning less than 1% of LM parameters and achieves better low-resource performance with prompt tuning techniques.

May 1, 2023

Attending NeurIPS

I'll be at the [NeurIPS ENLSP](https://neurips2022-enlsp.github.io/) workshop.

Dec 1, 2022

Presenting at AKBC 2022 🇬🇧

In HyperVC, we use hyperbolic models with variable curvature to learn representations of temporal knowledge graphs for future fact prediction.

Sep 1, 2022

Presenting at EMNLP 2021 🇩🇴

New EMNLP Findings paper. In HyperExpan, we use a more expressive hyperbolic space for taxonomy expansion.

Aug 1, 2021

Presenting at NAACL 2021 🌎

We present our demo system EventPlus at NAACL 2021, the live system and code is released. [Check it out](https://kairos-event.isi.edu)!

Jun 1, 2021

Handbook at ACL 2020 🌎

The handbooks for ACL2020 that I helped assemble are ready and they're available in 24 timezones for the first time, [check them out](https://acl2020.org/participants/#conference-handbooks-for-24-timezones)!

Jul 1, 2020