| 2026 | ENASE | Towards Interpretable Formal Software Requirements: Empirical Assessment of Open-Source LLMs for LTL to NL Translation. | Vimaleswar A, Arpit Sharma |
| 2026 | WWW | Rethinking Object Detection and Tracking. | Arpit Sharma, Lei Wang, Yongsheng Gao |
| 2026 | SAC | An Empirical Analysis of Large Language Models for Sector Classification of Crowd-Based Software Requirements. | Dhyey Shekhaliya, Arpit Sharma |
| 2025 | NAACL | Bottom-Up Synthesis of Knowledge-Grounded Task-Oriented Dialogues with Iteratively Self-Refined Prompts. | Kun Qian, Maximillian Chen, Siyan Li, Arpit Sharma, Zhou Yu |
| 2024 | QUATIC | Classification of Crowd-Based Software Requirements via Unsupervised Learning. | Naimish Sharma, Arpit Sharma |
| 2024 | SAC | A Formal Framework of Model and Logical Embeddings for Verification of Stochastic Systems. | Susmoy Das, Arpit Sharma |
| 2023 | FORTE | On the Use of Model and Logical Embeddings for Model Checking of Probabilistic Systems. | Susmoy Das, Arpit Sharma |
| 2022 | COLING | Linguistically Motivated Features for Classifying Shorter Text into Fiction and Non-Fiction Genre. | Arman Kazmi, Sidharth Ranjan, Arpit Sharma, Rajakrishnan Rajkumar |
| 2021 | SAC | Sector classification for crowd-based software requirements. | Kushagra Bhatia, Arpit Sharma |
| 2021 | SAC | Embeddings between state and action labeled probabilistic systems. | Susmoy Das, Arpit Sharma |
| 2020 | REFSQ | Automatic Word Embeddings-Based Glossary Term Extraction from Large-Sized Software Requirements. | Siba Mishra, Arpit Sharma |
| 2019 | ACL | Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge. | Ashok Prakash, Arpit Sharma, Arindam Mitra, Chitta Baral |
| 2019 | ICTAC | The Linear Time-Branching Time Spectrum of Equivalences for Stochastic Systems with Non-determinism. | Arpit Sharma |
| 2019 | RE | On the Use of Word Embeddings for Identifying Domain Specific Ambiguities in Requirements. | Siba Mishra, Arpit Sharma |
| 2019 | TASE | Stuttering for Markov Automata. | Arpit Sharma |
| 2017 | ICTAC | Trace Relations and Logical Preservation for Continuous-Time Markov Decision Processes. | Arpit Sharma |
| 2016 | AAAI | Automatic Extraction of Events-Based Conditional Commonsense Knowledge. | Arpit Sharma, Chitta Baral |
| 2016 | IJCAI | Towards Understanding Natural Language: Semantic Parsing, Commonsense Knowledge Acquisition and Applications. | Arpit Sharma |
| 2015 | IJCAI | Towards Addressing the Winograd Schema Challenge - Building and Using a Semantic Parser and a Knowledge Hunting Module. | Arpit Sharma, Nguyen Ha Vo, Somak Aditya, Chitta Baral |