Visual Commonsense for Scene Understanding Using Perception, Semantic Parsing and Reasoning. - Somak Aditya; Yezhou Yang; Chitta Baral; Cornelia Fermüller; Yiannis Aloimonos (AAAI Spring Symposia, 2015)

Identifying Various Kinds of Event Mentions in K-Parser Output. - Arpit Sharma 001; Nguyen Ha Vo; Somak Aditya; Chitta Baral (EVENTS@HLP-NAACL, 2015)

Towards Addressing the Winograd Schema Challenge - Building and Using a Semantic Parser and a Knowledge Hunting Module. - Arpit Sharma 001; Nguyen Ha Vo; Somak Aditya; Chitta Baral (IJCAI, 2015)

Recognizing Social Constructs from Textual Conversation. - Somak Aditya; Chitta Baral; Nguyen Ha Vo; Joohyung Lee; Jieping Ye; Zaw Naung; Barry Lumpkin; Jenny Hastings; Richard B. Scherl; Dawn M. Sweet; Daniela Inclezan (HLT-NAACL, 2015)

From Images to Sentences through Scene Description Graphs using Commonsense Reasoning and Knowledge. - Somak Aditya; Yezhou Yang; Chitta Baral; Cornelia Fermüller; Yiannis Aloimonos (CoRR, 2015)

Answering Image Riddles using Vision and Reasoning through Probabilistic Soft Logic. - Somak Aditya; Yezhou Yang; Chitta Baral; Yiannis Aloimonos (CoRR, 2016)

Explainable Image Understanding Using Vision and Reasoning. - Somak Aditya (AAAI, 2017)

Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering. - Somak Aditya; Yezhou Yang; Chitta Baral (AAAI, 2018)

Combining Knowledge and Reasoning through Probabilistic Soft Logic for Image Puzzle Solving. - Somak Aditya; Yezhou Yang; Chitta Baral; Yiannis Aloimonos (UAI, 2018)

Image Understanding using vision and reasoning through Scene Description Graph. - Somak Aditya; Yezhou Yang; Chitta Baral; Yiannis Aloimonos; Cornelia Fermüller (Comput. Vis. Image Underst., 2018)

Knowledge and Reasoning for Image Understanding. - Somak Aditya (2018)

Integrating Knowledge and Reasoning in Image Understanding. - Somak Aditya; Yezhou Yang; Chitta Baral (IJCAI, 2019)

Spatial Knowledge Distillation to Aid Visual Reasoning. - Somak Aditya; Rudra Saha; Yezhou Yang; Chitta Baral (WACV, 2019)

Uncovering Relations for Marketing Knowledge Representation. - Somak Aditya; Atanu Sinha (CoRR, 2019)

Exploratory Navigation and Selective Reading. - Natwar Modani; Paridhi Maheshwari; Harsh Deshpande; Saurab Sirpurkar; Diviya; Somak Aditya (AAAI, 2020)

TaxiNLI: Taking a Ride up the NLU Hill. - Pratik Joshi; Somak Aditya; Aalok Sathe; Monojit Choudhury (CoNLL, 2020)

First Workshop on Knowledge Injection in Neural Networks (KINN). - Vasudev Lal; Somak Aditya; Yezhou Yang; Pasquale Minervini; Sandya Mannarswamy (CIKM, 2021)

Analyzing the Nuances of Transformers' Polynomial Simplification Abilities. - Vishesh Agarwal; Somak Aditya; Navin Goyal (CoRR, 2021)

Trusting RoBERTa over BERT: Insights from CheckListing the Natural Language Inference Task. - Ishan Tarunesh; Somak Aditya; Monojit Choudhury (CoRR, 2021)

Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer Performance. - Karthikeyan K; Aalok Sathe; Somak Aditya; Monojit Choudhury (CoRR, 2021)

LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems. - Anirudh Srinivasan; Gauri Kholkar; Rahul Kejriwal; Tanuja Ganu; Sandipan Dandapat; Sunayana Sitaram; Balakrishnan Santhanam; Somak Aditya; Kalika Bali; Monojit Choudhury (AAAI, 2022)

Vector Space Interpolation for Query Expansion. - Deepanway Ghosal; Somak Aditya; Sandipan Dandapat; Monojit Choudhury (AACL/IJCNLP (2), 2022)

Multilingual CheckList: Generation and Evaluation. - Karthikeyan K; Shaily Bhatt; Pankaj Singh; Somak Aditya; Sandipan Dandapat; Sunayana Sitaram; Monojit Choudhury (AACL/IJCNLP (Findings), 2022)

Generating Intermediate Steps for NLI with Next-Step Supervision. - Deepanway Ghosal; Somak Aditya; Monojit Choudhury (CoRR, 2022)

A Robust Information-Masking Approach for Domain Counterfactual Generation. - Pengfei Hong; Rishabh Bhardwaj; Navonil Majumder; Somak Aditya; Soujanya Poria (ACL (Findings), 2023)

Prover: Generating Intermediate Steps for NLI with Commonsense Knowledge Retrieval and Next-Step Prediction. - Deepanway Ghosal; Somak Aditya; Monojit Choudhury (IJCNLP (1), 2023)

SYNC: A Structurally Guided Hard Negative Curricula for Generalizable Neural Code Search. - Atharva Naik; Soumitra Das; Jyothi Vedurada; Somak Aditya (IJCNLP (1), 2023)

ReMask: A Robust Information-Masking Approach for Domain Counterfactual Generation. - Pengfei Hong; Rishabh Bhardwaj; Navonil Majumder; Somak Aditya; Soujanya Poria (CoRR, 2023)

Tricking LLMs into Disobedience: Understanding, Analyzing, and Preventing Jailbreaks. - Abhinav Rao; Sachin Vashistha; Atharva Naik; Somak Aditya; Monojit Choudhury (CoRR, 2023)

Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models. - Man Luo 003; Shrinidhi Kumbhar; Ming Shen; Mihir Parmar; Neeraj Varshney; Pratyay Banerjee; Somak Aditya; Chitta Baral (CoRR, 2023)

Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks. - Abhinav Rao; Atharva Naik; Sachin Vashistha; Somak Aditya; Monojit Choudhury (LREC/COLING, 2024)

Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs. - Haritz Puerto; Martin Tutek; Somak Aditya; Xiaodan Zhu; Iryna Gurevych (EMNLP, 2024)

ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments. - Sourjyadip Ray; Kushal Gupta; Soumi Kundu; Payal Arvind Kasat; Somak Aditya; Pawan Goyal 002 (EMNLP, 2024)

MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning. - Debrup Das; Debopriyo Banerjee; Somak Aditya; Ashish Kulkarni (NAACL-HLT, 2024)

Stuck in the Quicksand of Numeracy, Far from AGI Summit: Evaluating LLMs' Mathematical Competency through Ontology-guided Perturbations. - Pengfei Hong; Deepanway Ghosal; Navonil Majumder; Somak Aditya; Rada Mihalcea; Soujanya Poria (CoRR, 2024)

GRAFFORD: A Benchmark Dataset for Testing the Knowledge of Object Affordances of Language and Vision Models. - Sayantan Adak; Daivik Agrawal; Animesh Mukherjee 001; Somak Aditya (CoRR, 2024)

[WIP] Jailbreak Paradox: The Achilles' Heel of LLMs. - Abhinav Rao; Monojit Choudhury; Somak Aditya (CoRR, 2024)

LoNLI: An Extensible Framework for Testing Diverse Logical Reasoning Capabilities for NLI. - Ishan Tarunesh; Somak Aditya; Monojit Choudhury (Lang. Resour. Evaluation, 2024)

Evaluating LLMs' Mathematical and Coding Competency through Ontology-guided Interventions. - Pengfei Hong; Navonil Majumder; Deepanway Ghosal; Somak Aditya; Rada Mihalcea; Soujanya Poria (ACL (Findings), 2025)

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation. - Saurabh Kumar Pandey; Sachin Vashistha; Debrup Das; Somak Aditya; Monojit Choudhury (NAACL (Long Papers), 2025)

REFINE-AF: A Task-Agnostic Framework to Align Language Models via Self-Generated Instructions using Reinforcement Learning from Automated Feedback. - Aniruddha Roy; Pretam Ray; Abhilash Nandy; Somak Aditya; Pawan Goyal 002 (CoRR, 2025)

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization. - Koushik Viswanadha; Deepanway Ghosal; Somak Aditya (CoRR, 2025)

AURA: Affordance-Understanding and Risk-aware Alignment Technique for Large Language Models. - Sayantan Adak; Pratyush Chatterjee; Somnath Banerjee 002; Rima Hazra; Somak Aditya; Animesh Mukherjee 001 (CoRR, 2025)