| 2026 | ACL | Is Chain-of-Thought Really Not Explainability? Chain-of-Thought Can Be Faithful without Hint Verbalization. | Kerem Zaman, Shashank Srivastava |
| 2026 | SODA | Algorithmic Improvements to List Decoding of Folded Reed-Solomon Codes. | Vikrant Ashvinkumar, Mursalin Habib, Shashank Srivastava |
| 2025 | ACL | Classifying Unreliable Narrators with Large Language Models. | Anneliese Brei, Katharine Henry, Abhisheik Sharma, Shashank Srivastava, Snigdha Chaturvedi |
| 2025 | ACL | INTERACT: Enabling Interactive, Question-Driven Learning in Large Language Models. | Aum Kendapadi, Kerem Zaman, Rakesh R. Menon, Shashank Srivastava |
| 2025 | EDBT | FISQL: Enhancing Text-to-SQL Systems with Rich Interactive Feedback. | Rakesh Menon, Kun Qian, Liqun Chen, Ishika Joshi, Daniel Pandyan, Shashank Srivastava, Yunyao Li |
| 2025 | EMNLP | Explaining Differences Between Model Pairs in Natural Language through Sample Learning. | Advaith Malladi, Rakesh R. Menon, Yuvraj Jain, Shashank Srivastava |
| 2025 | EMNLP | Large Language Models Threaten Language's Epistemic and Communicative Foundations. | Shashank Srivastava |
| 2025 | EMNLP | Chameleon LLMs: User Personas Influence Chatbot Personality Shifts. | Jane Xing, Tianyi Niu, Shashank Srivastava |
| 2025 | EMNLP | A Causal Lens for Evaluating Faithfulness Metrics. | Kerem Zaman, Shashank Srivastava |
| 2025 | FOCS | List Decoding Expander-Based Codes up to Capacity in Near-Linear Time. | Shashank Srivastava, Madhur Tulsiani |
| 2025 | SODA | Improved List Size for Folded Reed-Solomon Codes. | Shashank Srivastava |
| 2025 | STOC | Explicit Codes Approaching Generalized Singleton Bound using Expanders. | Fernando Granha Jeronimo, Tushant Mittal, Shashank Srivastava, Madhur Tulsiani |
| 2024 | AAAI | Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments. | Fahmid Morshed Fahid, Jonathan P. Rowe, Yeo Jin Kim, Shashank Srivastava, James C. Lester |
| 2024 | EMNLP | DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers. | Rakesh R. Menon, Shashank Srivastava |
| 2024 | EMNLP | SocialGaze: Improving the Integration of Human Social Norms in Large Language Models. | Anvesh Rao Vijjini, Rakesh R. Menon, Jiayi Fu, Shashank Srivastava, Snigdha Chaturvedi |
| 2024 | EMNLP | Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion. | Kerem Zaman, Leshem Choshen, Shashank Srivastava |
| 2023 | ACL | LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning. | Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava |
| 2023 | EMNLP | Manipulating the Perceived Personality Traits of Language Models. | Graham Caron, Shashank Srivastava |
| 2023 | EMNLP | Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models. | Yiyuan Li, Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava |
| 2023 | EMNLP | MaNtLE: Model-agnostic Natural Language Explainer. | Rakesh R. Menon, Kerem Zaman, Shashank Srivastava |
| 2023 | EMNLP | Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers. | Kangda Wei, Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava |
| 2023 | EMNLP | Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture. | Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, Yunyao Li, James A. Hendler, Dakuo Wang |
| 2023 | FOCS | List Decoding of Tanner and Expander Amplified Codes from Distance Certificates. | Fernando Granha Jeronimo, Shashank Srivastava, Madhur Tulsiani |
| 2022 | ACL | Predicting Difficulty and Discrimination of Natural Language Questions. | Matthew Byrd, Shashank Srivastava |
| 2022 | ACL | ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding. | Sayan Ghosh, Shashank Srivastava |
| 2022 | ACL | CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations. | Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava |
| 2022 | EMNLP | What do Large Language Models Learn beyond Language? | Avinash Madasu, Shashank Srivastava |
| 2021 | ACL | How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? | Sayan Ghosh, Zheng Qi, Snigdha Chaturvedi, Shashank Srivastava |
| 2021 | EMNLP | Adversarial Scrubbing of Demographic Information for Text Classification. | Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li, Junier Oliva, Shashank Srivastava, Snigdha Chaturvedi |
| 2021 | EMNLP | Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning. | Sayan Ghosh, Shashank Srivastava |
| 2021 | EMNLP | Does Social Pressure Drive Persuasion in Online Fora? | Ayush Jain, Shashank Srivastava |
| 2021 | EMNLP | Improving and Simplifying Pattern Exploiting Training. | Derek Tam, Rakesh R. Menon, Mohit Bansal, Shashank Srivastava, Colin Raffel |
| 2021 | STOC | Near-linear time decoding of Ta-Shma's codes via splittable regularity. | Fernando Granha Jeronimo, Shashank Srivastava, Madhur Tulsiani |
| 2020 | ACL | Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context. | Shashank Srivastava, Oleksandr Polozov, Nebojsa Jojic, Christopher Meek |
| 2020 | EMNLP | PRover: Proof Generation for Interpretable Reasoning over Rules. | Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, Mohit Bansal |
| 2020 | FOCS | Unique Decoding of Explicit $\varepsilon$-balanced Codes Near the Gilbert-Varshamov Bound. | Fernando Granha Jeronimo, Dylan Quintana, Shashank Srivastava, Madhur Tulsiani |
| 2020 | SODA | List Decoding of Direct Sum Codes. | Vedat Levi Alev, Fernando Granha Jeronimo, Dylan Quintana, Shashank Srivastava, Madhur Tulsiani |
| 2019 | EMNLP | Learning to Ask for Conversational Machine Learning. | Shashank Srivastava, Igor Labutov, Tom M. Mitchell |
| 2018 | ACL | Zero-shot Learning of Classifiers from Natural Language Quantification. | Shashank Srivastava, Igor Labutov, Tom M. Mitchell |
| 2018 | ACL | A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text. | Shashank Srivastava, Nebojsa Jojic |
| 2018 | COMSNETS | An RBF-PSO based approach for early detection of DDoS attacks in SDN. | Neelam Dayal, Shashank Srivastava |
| 2018 | COMSNETS | Leveraging SDN for Early Detection and Mitigation of DDoS Attacks. | Neelam Dayal, Shashank Srivastava |
| 2018 | EMNLP | LIA: A Natural Language Programmable Personal Assistant. | Igor Labutov, Shashank Srivastava, Tom M. Mitchell |
| 2018 | ICDCN | Software Defined Underlay-aware Structured Peer-to-Peer Overlay. | Nitin Shukla, Anurag Bamal, Shashank Srivastava, Mayank Pandey |
| 2018 | NAACL | Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes. | Snigdha Chaturvedi, Shashank Srivastava, Dan Roth |
| 2017 | COMSNETS | Analyzing behavior of DDoS attacks to identify DDoS detection features in SDN. | Neelam Dayal, Shashank Srivastava |
| 2017 | EMNLP | Joint Concept Learning and Semantic Parsing from Natural Language Explanations. | Shashank Srivastava, Igor Labutov, Tom M. Mitchell |
| 2017 | IJCAI | Parsing Natural Language Conversations using Contextual Cues. | Shashank Srivastava, Amos Azaria, Tom M. Mitchell |
| 2017 | SIN | Performance impact of topology poisoning attack in SDN and its countermeasure. | Nivindar Kaur, Ashutosh Kumar Singh, Naveen Kumar, Shashank Srivastava |
| 2017 | SIN | Evaluating machine learning algorithms for detection of interest flooding attack in named data networking. | Naveen Kumar, Ashutosh Kumar Singh, Shashank Srivastava |
| 2016 | AAAI | Modeling Evolving Relationships Between Characters in Literary Novels. | Snigdha Chaturvedi, Shashank Srivastava, Hal Daum III, Chris Dyer |
| 2016 | AAAI | Inferring Interpersonal Relations in Narrative Summaries. | Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell |
| 2014 | ACL | Vector space semantics with frequency-driven motifs. | Shashank Srivastava, Eduard H. Hovy |
| 2014 | WSDM | Spatial compactness meets topical consistency: jointly modeling links and content for community detection. | Mrinmaya Sachan, Avinava Dubey, Shashank Srivastava, Eric P. Xing, Eduard H. Hovy |
| 2013 | ACL | A Structured Distributional Semantic Model for Event Co-reference. | Kartik Goyal, Sujay Kumar Jauhar, Huiying Li, Mrinmaya Sachan, Shashank Srivastava, Eduard H. Hovy |
| 2013 | ACL | A Structured Distributional Semantic Model : Integrating Structure with Semantics. | Kartik Goyal, Sujay Kumar Jauhar, Huiying Li, Mrinmaya Sachan, Shashank Srivastava, Eduard H. Hovy |
| 2013 | EMNLP | A Walk-Based Semantically Enriched Tree Kernel Over Distributed Word Representations. | Shashank Srivastava, Dirk Hovy, Eduard H. Hovy |
| 2013 | WWW | Collective matrix factorization for co-clustering. | Mrinmaya Sachan, Shashank Srivastava |