Attending #NAACL2025 this week to present our paper "Constrained Decoding with Speculative Lookaheads".
Please feel free to say hi if you see me. :)
Paper link: https://t.co/4WDVmcY20s
Come to my keynote tomorrow! 9:10 am at the Trustworthy NLP workshop @trustnlp. I'll be talking about building reliable NLP tools to empower researchers in text-as-data fields #naacl2024#naacl24@naaclmeeting
#NAACL2024 paper alert π¨: FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs
Feel free to stop by our oral presentation session today if you are visiting @naaclmeeting in person. π
When: Today (June 17) at 4 PM Mexico City Time
Where: DON ALBERTO 2
Track: Dialogue
@DeanCarignan@sailiks @DX89B Thanks @DeanCarignan for appreciating our work! :) We are also keeping a close eye on Guidance - it seems incredibly useful.
Delighted to share our latest paper from @AmazonScience, "FLAP: Flow Adhering Planning with Constrained Decoding in LLMs", which just got accepted to #NAACL2024 main!
Work done in collaboration with my exceptional teammates @sailiks , @DX89B , Saab, and Arshit.
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Our proposed approach alleviates the need for fine-tuning LLMs using domain-specific data and outperforms other decoding and prompting-based baselines in faithful planning.
π’ I'll present our poster on socio-semantic representation of text and its application on characterizing online movements at #EMNLP2023 (virtually).
Session: PS7 (GT) Dec 10, 11 AM SGT/ Dec 9, 7 PM PT.
Come by if around. Looking forward to an engaging session on #NLProc.π
Pleased to share that the last part of my PhD thesis has been accepted to #EMNLP2023 Findings!
TL;DR: We proposed graph-based structured prediction on rich socio-semantic representation of text for identifying perspectives on social movements.
Preprint: https://t.co/8m79Hiu9ZW
Happy to share that paper based on my last year's internship at my current team got accepted to @aaclmeeting. Credit goes to my awesome collaborators at AWS AI Labs. π Check out the preprint to learn about conversation style transfer and its applications: https://t.co/plveowuzjS
Check out the preprint of our upcoming EMNLP paper https://t.co/Gnr2EmSEHX. In this paper, we introduce morality frames, a knowledge representation framework for organizing moral attitudes directed to entities in political tweets & a deep relational learning model to detect them.
Long paper got accepted to EMNLP 2021. Thanks to my awesome collaborators @ml_pacheco_ and Dr. Dan Goldwasser. π This paper is an extension of our SocialNLP 2021 paper (https://t.co/zjIao0Zvho). Arxiv version coming soon.