UtahNLP

The NLP group at the University of Utah.

[ACL 2026 @aclmeeting]

🏆ACL Reviewer and (Senior) Area Chair Awards

🔗https://t.co/YExcFLqDHC

👏Outstanding SACs
@caro__lawrence, @anmarasovic & @ChenhaoTan

🧵 (1/6)

[Joe Davison @joeddav]

I'm going back for a PhD! 👨🏼‍🎓

Excited to announce that I just accepted an offer to join the PhD program at @KahlertSoC at @UUtah working with the @UtahNLP group 🏔️

SO privileged to have such an opportunity so near family and within a stone's throw of the wasatch mountains 😇🚵👨‍👩‍👧

[Zhichao Xu Brutus @zhichaoxu_ir]

👏🔥our paper received Distinguished Paper award !

[ACL 2026 @aclmeeting]

Best Papers (1/3)
📢S2: Language Grounding (Poster) ...

📌 Do Androids Laugh at Electric Sheep? Humor 'Understanding' Benchmarks from The NY Caption Contest

🔍Delve into the "understanding" of cartoons and the complexities of humor. 🤖

🔗https://t.co/PtsG7IULMY

🧵(4/5)

[Maitrey Mehta @my_tray]

I’ll be presenting our work “Verifying Annotation Agreement without Multiple Experts: A Case Study with Gujarati SNACS” as a virtual poster on Tuesday at #ACL2023 and in-person at LAW on Thursday.

Joint work with @viveksrikumar

Paper: https://t.co/tavWnFU0fq (1/3)

[Vivek Gupta ✈️ ACL 2026 @keviv9]

Excited to share our #ACL2023NLP (#NLProc) work on "Evaluating Inter-Bilingual Semantic Parsing for Indian Languages" appearing in @5thnlp4convai workshop. We propose IE-SEMPARSE, an Inter-bilingual Seq2seq Semantic parsing dataset for 11 Indian languages. - 1/n

[Vivek Gupta ✈️ ACL 2026 @keviv9]

Excited to share our #ACL2023NLP (#NLProc) paper on "Information Synchronization Across Multilingual Semi-Structured Tables"! 📚🔍

We explore the problem of Information Synchronization across multilingual tables and construct a large-scale dataset InfoSync. #NLPResearch -1/n

[Vivek Gupta ✈️ ACL 2026 @keviv9]

Check "Leveraging Data Recasting to Enhance Tabular Reasoning" at #EMNLP2022 @emnlpmeeting
. Joint work with @aashna_jena (@iiit_hyderabad -> @GoogleAI), @manshri (@iiit_hyderabad ), @eisenjulian (@GoogleAI . Explored data recasting between tabular tasks to enhance reasoning.-1/n

[Vivek Gupta ✈️ ACL 2026 @keviv9]

Check our work at #EMNLP2022, see thread 🧵⬇️

1. Multilingual NLI for Indic Languages
https://t.co/PElYroobi0
2. Data Augmentation for Tabular NLI https://t.co/KhHRgDoQ9A
3. Data Recasting for Tabular NLI
https://t.co/ypH4d3jYdK

Catch @keviv9, @aashna_jena at @emnlpmeeting 1/n

[Vivek Gupta ✈️ ACL 2026 @keviv9]

Check for more details here:

Page: https://t.co/Id6dwVu6K1
Paper: https://t.co/e2JpIDQjyS
Code: https://t.co/ldEh8vPwvx
Data: https://t.co/z9dPdGGseu
Video: https://t.co/iv2XIAAdro
Poster: https://t.co/PmpS2OAkwX

more updates underway
huge kudos to @DibyakantiK

-3/n

[Vivek Gupta ✈️ ACL 2026 @keviv9]

Check "Realistic Data Augmentation Framework for Enhancing Tabular Reasoning" at #EMNLP2022 @emnlpmeeting. Joint work with @DibyakantiK
(@IITGuwahati, @iitgai)@SoUmmYaah (@IITKgp), @imsure318(@TechAtBloomberg). We explored semi-automatic way to generate tabular NLI dataset.-1/n

[Vivek Gupta ✈️ ACL 2026 @keviv9]

We study the effects of alternative fine-tuning procedures, languages, multi-linguality, and mixed-language input on pre-trained language models.

Page: https://t.co/XIGUOYZ4PG
Paper: https://t.co/fJkA6sxFbx
Data: https://t.co/osumDNkN2O
Code: https://t.co/XP1p1GYRdA

-2/n (n/n)

[Vivek Gupta ✈️ ACL 2026 @keviv9]

Check "IndicXNLI: Evaluating Multilingual NLI for Indian Languages" at #EMNLP2022 @emnlpmeeting. Joint work with @divyanshuaggarw (@dtu_delhi -> AmExAI @AmericanExpress), @anoopk (@MSFTResearch). IndicXNLI is an NLI dataset for 11 Indian languages. @UUtah @UtahSoC @UtahNLP -1/n

[UCSB AI @UCSB_AI]

Our @AppFolio Best Paper Award winner was "CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning About Negation" from Abhilasha Ravichander et al from CMU/AllenAI!

Paper link: https://t.co/zYt3uprXOe

Thank you to sponsor @AppFolio for supporting our event! (3/4)

[Vivek Gupta ✈️ ACL 2026 @keviv9]

@aaclmeeting @areddys53 @IITGuwahati @iitgai @imsure318 @TechAtBloomberg @UUtah @UtahSoC @UtahNLP Code: https://t.co/sVbC9U7Znk
Paper: https://t.co/VGbjqwZZhJ
Poster: https://t.co/ksixdMyDcv
PPT: https://t.co/i9pkalhBu4

-3(n)/n

[Vivek Gupta ✈️ ACL 2026 @keviv9]

@aaclmeeting @areddys53 @IITGuwahati @iitgai @imsure318 @TechAtBloomberg @UUtah @UtahSoC @UtahNLP We use Pattern-Exploiting Training to augment pre-trained language models' knowledge & reasoning abilities. Upgraded model better understands facts and tabular reasoning and prefer better against character and word-level pertrubation.

Project Page: https://t.co/Nnra3KoxDc -2/n

[Vivek Gupta ✈️ ACL 2026 @keviv9]

Check "Enhancing Tabular Reasoning with Pattern Exploiting Training" at #AACL2022 @aaclmeeting. Joint work with @areddys53 (@IITGuwahati, @iitgai); @imsure318 (@TechAtBloomberg). We exploit prompt based learning, i.e, PET, to extract knowledge for tables @UUtah @UtahSoC @UtahNLP

[Matt Gardner @nlpmattg]

.@Lasha1608 did some amazing work here, I think this is one of the best datasets I've been a part of creating.

[Ana Marasović @anmarasovic]

Lots of effort went into this one. I'm very excited to see it released and grateful that I had a chance to work closely with @Lasha1608 and @nlpmattg!

Looking forward to hear/see what you all think 😌

[Abhilasha Ravichander @lasha_nlp]

🚨Help NLP models process negation🚨

Introducing ℂ𝕆ℕ𝔻𝔸ℚ𝔸, a *contrastive* reading comprehension dataset that requires reasoning about negation

w/ @nlpmattg & @anmarasovic @ai2_allennlp, at #EMNLP2022

📝Paper https://t.co/UfFv1Yi6w0
🚀Data https://t.co/upJUpTNmXY [1/8]