Vaakkriti: Sanskrit Tokenizer. - Aasish Pappu; Ratna Sanyal (IJCNLP, 2008)

Using Wikipedia for Hierarchical Finer Categorization of Named Entities. - Aasish Pappu (PACLIC, 2009)

Instruction Taking in the TeamTalk System. - Alexander I. Rudnicky; Aasish Pappu; Peng Li; Matthew Marge; Benjamin Frisch (AAAI Fall Symposium: Dialog with Robots, 2010)

The Structure and Generality of Spoken Route Instructions. - Aasish Pappu; Alexander I. Rudnicky (SIGDIAL Conference, 2012)

Situated Multiparty Interaction between Humans and Agents. - Aasish Pappu; Ming Sun 001; Seshadri Sridharan; Alexander I. Rudnicky (HCI (4), 2013)

Deploying speech interfaces to the masses. - Aasish Pappu; Alexander I. Rudnicky (IUI Companion, 2013)

Predicting Tasks in Goal-Oriented Spoken Dialog Systems using Semantic Knowledge Bases. - Aasish Pappu; Alexander I. Rudnicky (SIGDIAL Conference, 2013)

Conversational Strategies for Robustly Managing Dialog in Public Spaces. - Aasish Pappu; Ming Sun 001; Seshadri Sridharan; Alexander I. Rudnicky (DM@EACL, 2014)

Learning situated knowledge bases through dialog. - Aasish Pappu; Alexander I. Rudnicky (INTERSPEECH, 2014)

Investigating Critical Speech Recognition Errors in Spoken Short Messages. - Aasish Pappu; Teruhisa Misu; Rakesh Gupta 001 (IWSDS, 2014)

Knowledge Acquisition Strategies for Goal-Oriented Dialog Systems. - Aasish Pappu; Alexander I. Rudnicky (SIGDIAL Conference, 2014)

Automatic formatted transcripts for videos. - Aasish Pappu; Amanda Stent (INTERSPEECH, 2015)

The Cohort and Speechify Libraries for Rapid Construction of Speech Enabled Applications for Android. - Tejaswi Kasturi; Haojian Jin; Aasish Pappu; Sungjin Lee; Beverley Harrison; Ramana Murthy; Amanda Stent (SIGDIAL Conference, 2015)

Humor in Collective Discourse: Unsupervised Funniness Detection in the New Yorker Cartoon Caption Contest. - Dragomir R. Radev; Amanda Stent; Joel R. Tetreault; Aasish Pappu; Aikaterini Iliakopoulou; Agustin Chanfreau; Paloma de Juan; Jordi Vallmitjana; Alejandro Jaimes; Rahul Jha; Robert Mankoff (LREC, 2016)

Weakly supervised user intent detection for multi-domain dialogues. - Ming Sun 001; Aasish Pappu; Yun-Nung Chen; Alexander I. Rudnicky (SLT, 2016)

Finding Good Conversations Online: The Yahoo News Annotated Comments Corpus. - Courtney Napoles; Joel R. Tetreault; Aasish Pappu; Enrica Rosato; Brian Provenzale (LAW@ACL, 2017)

Automatically Identifying Good Conversations Online (Yes, They Do Exist!). - Courtney Napoles; Aasish Pappu; Joel R. Tetreault (ICWSM, 2017)

Post-Processing Techniques for Improving Predictions of Multilabel Learning Approaches. - Akshay Soni; Aasish Pappu; Jerry Chia-mau Ni; Troy Chevalier (IJCNLP(2), 2017)

DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging. - Sheng Chen; Akshay Soni; Aasish Pappu; Yashar Mehdad (Rep4NLP@ACL, 2017)

Lightweight Multilingual Entity Extraction and Linking. - Aasish Pappu; Roi Blanco; Yashar Mehdad; Amanda Stent; Kapil Thadani (WSDM, 2017)

Extreme Multilabel Classification for Social Media Chairs' Welcome and Organization. - Akshay Soni; Aasish Pappu; Róbert Busa-Fekete; Krzysztof Dembczynski (WWW (Companion Volume), 2018)

Unsupervised Neologism Normalization Using Embedding Space Mapping. - Nasser Zalmout; Kapil Thadani; Aasish Pappu (W-NUT@EMNLP, 2019)

On the Complexity of Opinions and Online Discussions. - Utkarsh Upadhyay; Abir De; Aasish Pappu; Manuel Gomez-Rodriguez (WSDM, 2019)

Inferring Advertiser Sentiment in Online Articles using Wikipedia Footnotes. - Shaunak Mishra; Aasish Pappu; Narayan Bhamidipati (WWW (Companion Volume), 2019)

Query Understanding for Surfacing Under-served Music Content. - Federico Tomasi; Rishabh Mehrotra; Aasish Pappu; Judith Bütepage; Brian Brost; Hugo Galvão; Mounia Lalmas (CIKM, 2020)

100, 000 Podcasts: A Spoken English Document Corpus. - Ann Clifton; Sravana Reddy; Yongze Yu; Aasish Pappu; Rezvaneh Rezapour; Hamed R. Bonab; Maria Eskevich; Gareth J. F. Jones; Jussi Karlgren; Ben Carterette; Rosie Jones (COLING, 2020)

TREC 2020 Podcasts Track Overview. - Rosie Jones; Ben Carterette; Ann Clifton; Jussi Karlgren; Aasish Pappu; Sravana Reddy; Yongze Yu; Maria Eskevich; Gareth J. F. Jones (TREC, 2020)

The Spotify Podcasts Dataset. - Ann Clifton; Aasish Pappu; Sravana Reddy; Yongze Yu; Jussi Karlgren; Ben Carterette; Rosie Jones (CoRR, 2020)

Leveraging Semantic Information to Facilitate the Discovery of Underserved Podcasts. - Maryam Aziz; Alice Wang; Aasish Pappu; Hugues Bouchard; Yu Zhao; Benjamin A. Carterette; Mounia Lalmas (CIKM, 2021)

Detecting Extraneous Content in Podcasts. - Sravana Reddy; Yongze Yu; Aasish Pappu; Aswin Sivaraman; Rezvaneh Rezapour; Rosie Jones (EACL, 2021)

Representation of Music Creators on Wikipedia, Differences in Gender and Genre. - Alice Wang; Aasish Pappu; Henriette Cramer (ICWSM, 2021)

Neural Instant Search for Music and Podcast. - Helia Hashemi; Aasish Pappu; Mi Tian; Praveen Chandar; Mounia Lalmas; Benjamin A. Carterette (KDD, 2021)

Current Challenges and Future Directions in Podcast Information Access. - Rosie Jones; Hamed Zamani; Markus Schedl; Ching-Wei Chen; Sravana Reddy; Ann Clifton; Jussi Karlgren; Helia Hashemi; Aasish Pappu; Zahra Nazari; Longqi Yang; Oguz Semerci; et al. (SIGIR, 2021)

BiT: Robustly Binarized Multi-distilled Transformer. - Zechun Liu; Barlas Oguz; Aasish Pappu; Lin Xiao; Scott Yih; Meng Li 004; Raghuraman Krishnamoorthi; Yashar Mehdad (NeurIPS, 2022)

Binary and Ternary Natural Language Generation. - Zechun Liu; Barlas Oguz; Aasish Pappu; Yangyang Shi; Raghuraman Krishnamoorthi (ACL (1), 2023)

MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation. - Fei Tan 002; Changwei Hu; Yifan Hu 001; Kevin Yen; Zhi Wei 001; Aasish Pappu; Serim Park; Keqian Li (IEEE Trans. Neural Networks Learn. Syst., 2023)

Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. - Ganesh Jawahar; Haichuan Yang; Yunyang Xiong; Zechun Liu; Dilin Wang; Fei Sun; Meng Li 004; Aasish Pappu; Barlas Oguz; Muhammad Abdul-Mageed; Laks V. S. Lakshmanan; Raghuraman Krishnamoorthi; et al. (ACL (Findings), 2024)

Post-training an LLM for RAG? Train on Self-Generated Demonstrations. - Matthew Finlayson; Ilia Kulikov; Daniel M. Bikel; Barlas Oguz; Xilun Chen 002; Aasish Pappu (CoRR, 2025)