[C35] ACL25: A. Das, S. Trivedy, D. Khanna, R. Roy, G. Singh, B. Ghosh, Y. Narsupalli, V. Jain, V. Sharma, A. Reganti, A. Chadha, DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization, https://arxiv.org/abs/2501.0327, ACL [A*]
[C35] ACL25: A. Das, Y. Narsupalli, G. Singh, V. Jain, V. Sharma, S. Trivedy, A. Chadha, A. Sheth, YINYANG-ALIGN: Benchmarking Contradictory Objectives and Proposing Multi-Objective Optimization based DPO for Text-to-Image Alignment, https://arxiv.org/abs/2502.03512, ACL [A*]
[C35] ICCV25: NR. Barman, K. Sharma, A. Aziz, S. Bajpai, S. Biswas, V. Sharma, V. Jain, A. Chadha, A. Sheth, and A. Das, The Brittleness of AI-Generated Image Watermarking Techniques: Examining Their Robustness Against Visual Paraphrasing Attacks, https://arxiv.org/abs/2408.10446, submitted to ICCV [A*]
[C34] COLING25: T. Wijesiriwardene, R. Wickramarachchi, SR. Vennam, V. Jain, A. Chadha, A. Das, P. Kumaraguru, and A. Sheth, Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting, COLING 25 [B] [Accepted]
[C33] ICCV25: S. Dixit, A Aziz, V. Sharma, A Chaddha, AN. Reganti, A. Sheth, and A. Das, PECCAVI - Visual Paraphrase Attack Safe and Distortion Free Image Watermarking Technique for AI-Generated Images. Submitted to ICCV 25 [A*]
[C32] EMNLP24: I. Kavathekar, A. Rani, A. Chamoli, P. Kumaraguru, A. Sheth, and A. Das, Counter Turing Test (CT2): Investigating AI-Generated Text Detection for Hindi -- Ranking LLMs based on Hindi AI Detectability Index (ADIhi), accepted to be presented in EMNLP 2024 [Findings]
[C31] EACL24: T. Wijesiriwardene, R. Wickramarachchi, AN Reganti, V. Jain, A. Chadha, A. Sheth, and A. Das, On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models, EACL 2024 [Findings] [A]
[C30] EMNLP23: V. Rawte, A. Das, FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W Question-Answering, EMNLP 2023 [Oral] [A*]
[C29] EMNLP23: V. Rawte, S. Chakraborty, A. Pathak, A. Sarkar, SMTI Tonmoy, A. Chadha, A. Sheth, and A. Das, The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations, EMNLP 2023 [Oral] [A*] – Media: Washington Post
[C28] EMNLP23: M. Chakraborty, SMTI. Tonmoy, SMM Zaman, S. Gautam, T. Kumar, K. Sharma, N. Barman, C. Gupta, V. Jain, A. Chadha, A. Sheth, and A. Das, Counter Turing Test (CT2): AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index (ADI), EMNLP 2023 [Oral] [A*] [# received Outstanding Paper award in Resources and Evaluation track]
[C27] ACL23: T. Wijesiriwardene, R. Wickramarachchi, B. Gajera, S. Gowaikar, C. Gupta, A. Chadha, AN Reganti, A. Sheth, and A. Das, ANALOGICAL- A New Benchmark for Analogy of Long Text for Large Language Models, ACL 2023 [Findings] [A*]
[C26] ACL23: A. Rani, SM Tonmoy, D. Dalal, S. Gautam, M. Chakraborty, A. Chadha, A. Sheth, A. Das, FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering, ACL 2023 [Oral] [A*]
[C25] ACL23: M. Mohammed, S. Kandukuri, N. Gupta, P. Patwa, A. Chatterjee, V. Jain, A. Chadha, and A. Das, CONFLATOR: Incorporating Switching Point-based Rotatory Positional Encodings for Code-Mixed Language Modeling. In Proceedings of the 6th Workshop on Computational Approaches to Linguistic Code-Switching, pages 64–73, Singapore. ACL.
[C24] AAAI22: M. Ali, ST Kandukuri, S. Manduru, P. Patwa, A. Das, PESTO: Switching Point-Based Dynamic and Relative Positional Encoding for Code-Mixed Languages (Student Abstract), AAAI 2022, 12901-12902 [Poster] [A*]
[C23] AAAI22: N. Gunti, S. Ramamoorthy, P. Patwa, A. Das, Memotion Analysis through the Lens of Joint Embedding (Student Abstract), AAAI 2022, 12959-12960 [Poster] [A*]
[C22] ICDE21: S. Dutta, S. Masud, Sa. Makkar, C. Jain, V. Goyal, A. Das, T. Chakraborty. Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter, on 37th International Conference on Data Engineering 2021 (IEEE ICDE Conference). [Oral] [A1]
[C21] LREC20: V. Guptha, A. Chatterjee, P. Chopra, and A. Das. Minority Positive Sampling for Switching Points - an Anecdote for the Code-Mixing Language Modeling, In the 12th Language Resources and Evaluation Conference (LREC 2020), France. [Poster] [A]
[C20] CICLING18: D. Rudrapal and A. Das. Semantic Role Labeling of English Tweets, In the 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING 2018), Hanoi, Vietnam. [Oral] [B]
[C19] CICLING18: K. Chakma, and A. Das. A 5W1H Based Annotation Scheme for Semantic Role Labelling of English Tweets. In the 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING 2018), Hanoi, Vietnam. [Oral] [B]
[C18] AAAI18: U. Kumar, V. S. Rana, C. Andrew, S. Gongidi, and A. Das. Consonant-Vowel Sequences as Subword Units for Code-Mixed Languages. Student poster selected for presentation at 32nd AAAI conference on artificial intelligence 2018, pages 8103-8104, San Francisco, USA. [Poster] [A*]
[C17] ASONAM17: T. Maheshwari, A. Reganti, A. Das, T. Chakraborty, and P. Kumarguru. Understanding the Psycho-Sociological Vulnerability of ISIS Patronizers on Twitter. In the proceeding of the International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2017), pages 621-624, Sydney, Australia. [Poster] [A]
[C16] NLDB17: D. Rudrapal, A. Das, and B. Bhattacharya. Quotology - Reading between the Lines of Quotations. In the proceeding of the 22nd International Conference on Natural Language & Information Systems – NLDB 2017, pages 292-296, Belgium. [Poster] [B]
[C15] CSCW17: T. Maheshwari, A. Reganti, T. Chakraborty, and A. Das. Socio-Ethnic Ingredients of Social Network Communities. In the proceeding of 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2017), pages 235-238, Portland, USA. [Poster] [A]
[C14] EACL17: T. Maheshwari, A. N. Reganti, S. Gupta, A. Jamatia, U. Kumar, B. Gambäck, and A. Das. A Societal Sentiment Analysis: Predicting the Values and Ethics of Individuals by Analyzing Social Media Content. In the proceeding of the 15th European Chapter of the Association for Computational Linguistics (EACL 2017), pages 731–741, Valencia, Spain. [Oral] [A]
[C13] AAAI17: A. N. Reganti, T. Maheshwari, U. Kumar, T. Chakraborty, and A. Das. Semantic Interpretation of Social Network Communities. Poster selected for presentation at 31st AAAI conference on artificial intelligence 2017, pages 4967-4968, San Francisco, USA. [Poster] [A*]
[C12] LREC16: B. Gambäck, and A. Das. Comparing the Level of Code-Switching in Corpora. In the proceedings of the 10th edition of the Language Resources and Evaluation Conference (LREC 2016), pages 1850-1855, Portorož (Slovenia). [Poster] [A]
[C11] CICLING16: A. Jamatia, B. Gambäck, and A. Das. Collecting and Annotating Indian Social Media Code-Mixed Corpora. In the proceeding of the 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING 2016), pages 3-9, Konya, Turkey. [Oral] [B]
[C10] RANLP15: A. Jamatia, B. Gambäck, and A. Das. Part-of-Speech Tagging for Code-Mixed English-Hindi Twitter and Facebook Chat Messages. In the Proceeding of 10th Recent Advances of Natural Language Processing (RANLP), September, pages 239–248, Bulgaria, 2015. [Oral] [B]
[C9] INLG14: B. Sarma, A. Das, and R. Nielsen. A Framework for Health Behavior Change using Companionable Robots. The 8th International Natural Language Generation conference (INLG 2014), pages 103–107, Philadelphia, USA. [Poster] [B]
[C8] HCI13: A. Das and B. Gambäck. Sentimental Eyes! In the proceeding of the 15th International Conference on Human-Computer Interaction (HCI 2013), pages 310-318, Las Vegas, Nevada, USA. [Poster] [A]
[C7] CICLING12: A. Das, S. Bandyopadhyay, and B. Gambäck. The 5W Structure for Sentiment Summarization-Visualization-Tracking, In the proceeding of the 13th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING 2012), pages 540-555, Delhi, India. [Oral] [B]
[C6] ACL11: A. Das. 2011. PsychoSentiWordNet. In Proceedings of the ACL 2011, USA, pages 52–57. [Poster] [A*]
[C5] ACL11: A. Das and S. Bandyopadhyay. Dr Sentiment Knows Everything! In the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL/HLT 2011), pages 50-55, Portland, Oregon, USA. [Demo] [A*]
[C4] ICON10: A. Das. Can We Mimic Human Pragmatics Knowledge in a Computational Lexicon? In the International Conference on Natural Language Processing (ICON), Kharagpur, India, 2010. [Oral] [Indian National NLP Conference] * Best Student Paper Award
[C3] SocialCom10: A. Das and S. Bandyopadhyay. Opinion Summarization in Bengali: A Theme Network Model, In the 2nd IEEE International Conference on Social Computing (SocialCom-2010), pages 675-682, Minneapolis, USA. [Oral] [B]
[C2] COLING10: A. Das and S. Bandyopadhyay. Topic-Based Bengali Opinion Summarization, In the 23rd International Conference on Computational Linguistics (COLING 2010), pages 232-240, Beijing, China. [Poster] [A*]
[C1] ACII09: A. Das and S. Bandyopadhyay. Theme Detection: an Exploration of Opinion Subjectivity. In Proceeding of Affective Computing & Intelligent Interaction (ACII 2009), pages 1-6, Amsterdam, Netherland. [Poster] [B]
