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ORCIDPushpak Bhattacharyya
Pushpak Bhattacharya
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- affiliation: Indian Institute of Technology, Bombay, India
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2020 – today
- 2024
[j99]Abhisek Tiwari
, Swarna S, Sriparna Saha, Pushpak Bhattacharyya, Minakshi Dhar, Sarbajeet Tiwari:
Learning from Failure: Towards Developing a Disease Diagnosis Assistant That Also Learns from Unsuccessful Diagnoses. Cogn. Comput. 16(5): 2222-2240 (2024)- [j98]Gopendra Vikram Singh, Mauajama Firdaus, Dushyant Singh Chauhan, Asif Ekbal, Pushpak Bhattacharyya:
Zero-shot multitask intent and emotion prediction from multimodal data: A benchmark study. Neurocomputing 569: 127128 (2024) - [j97]Krishanu Maity, Tanmay Sen, Sriparna Saha, Pushpak Bhattacharyya:
MTBullyGNN: A Graph Neural Network-Based Multitask Framework for Cyberbullying Detection. IEEE Trans. Comput. Soc. Syst. 11(1): 849-858 (2024) - [c508]Gopendra Vikram Singh, Mauajama Firdaus, Dushyant Singh Chauhan, Asif Ekbal, Pushpak Bhattacharyya:
Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning. AAAI 2024: 18981-18989 - [c507]Nihar Ranja Sahoo, Gyana Prakash Beria, Pushpak Bhattacharyya:
IndicCONAN: A Multilingual Dataset for Combating Hate Speech in Indian Context. AAAI 2024: 22313-22321 - [c506]Bhavani Shankar, Preethi Jyothi, Pushpak Bhattacharyya:
In-context Mixing (ICM): Code-mixed Prompts for Multilingual LLMs. ACL (1) 2024: 4162-4176 - [c505]Prince Jha, Raghav Jain, Konika Mandal, Aman Chadha, Sriparna Saha, Pushpak Bhattacharyya:
MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention. ACL (1) 2024: 8084-8104 - [c504]Krishanu Maity, Poornash Sangeetha, Sriparna Saha, Pushpak Bhattacharyya:
ToxVidLM: A Multimodal Framework for Toxicity Detection in Code-Mixed Videos. ACL (Findings) 2024: 11130-11142 - [c503]Settaluri Lakshmi Sravanthi, Meet Doshi, Pavan Tankala, V. Rudra Murthy, Raj Dabre, Pushpak Bhattacharyya:
PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities. ACL (Findings) 2024: 12075-12097 - [c502]Tejpalsingh Siledar, Swaroop Nath, Sankara Sri Raghava Ravindra Muddu, Rupasai Rangaraju, Swaprava Nath, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Sudhanshu Singh, Muthusamy Chelliah, Nikesh Garera:
One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation. ACL (1) 2024: 12119-12134 - [c501]Sanjeev Kumar, Preethi Jyothi, Pushpak Bhattacharyya:
Part-of-speech Tagging for Extremely Low-resource Indian Languages. ACL (Findings) 2024: 14422-14431 - [c500]Abhisek Tiwari, Shreyangshu Bera, Preeti Verma, Jaithra Varma Manthena, Sriparna Saha, Pushpak Bhattacharyya, Minakshi Dhar, Sarbajeet Tiwari:
Seeing Is Believing! towards Knowledge-Infused Multi-modal Medical Dialogue Generation. LREC/COLING 2024: 14513-14523 - [c499]Pavan Tankala, Preethi Jyothi, Preeti Rao, Pushpak Bhattacharyya:
STORiCo: Storytelling TTS for Hindi with Character Voice Modulation. EACL (2) 2024: 426-431 - [c498]Prince Jha, Krishanu Maity, Raghav Jain, Apoorv Verma, Sriparna Saha, Pushpak Bhattacharyya:
Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations. EACL (1) 2024: 930-943 - [c497]Pulkit Agarwal, Settaluri Lakshmi Sravanthi, Pushpak Bhattacharyya:
IndiFoodVQA: Advancing Visual Question Answering and Reasoning with a Knowledge-Infused Synthetic Data Generation Pipeline. EACL (Findings) 2024: 1158-1176 - [c496]Abhisek Tiwari, Shreyangshu Bera, Sriparna Saha, Pushpak Bhattacharyya, Samrat Ghosh:
Yes, This Is What I Was Looking For! Towards Multi-modal Medical Consultation Concern Summary Generation. ECIR (3) 2024: 210-225 - [c495]Tejpalsingh Siledar, Rupasai Rangaraju, Sankara Sri Raghava Ravindra Muddu, Suman Banerjee, Amey Patil, Sudhanshu Singh, Muthusamy Chelliah, Nikesh Garera, Swaprava Nath, Pushpak Bhattacharyya:
Product Description and QA Assisted Self-Supervised Opinion Summarization. NAACL-HLT (Findings) 2024: 2315-2332 - [c494]Nihar R. Sahoo, Pranamya Prashant Kulkarni, Arif Ahmad, Tanu Goyal, Narjis Asad, Aparna Garimella, Pushpak Bhattacharyya:
IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context. NAACL-HLT 2024: 8786-8806 - [c493]Avadhut Sardeshmukh, Sreedhar Reddy, Gautham B. P., Pushpak Bhattacharyya:
Material Microstructure Design Using VAE-Regression with a Multimodal Prior. PAKDD (6) 2024: 29-41 - [c492]Abhisek Tiwari, Muhammed Sinan, Kaushik Roy, Amit P. Sheth, Sriparna Saha, Pushpak Bhattacharyya:
Hi Model, generating "nice" instead of "good" is not as bad as generating "rice"! Towards Context and Semantic Infused Dialogue Generation Loss Function. ECML/PKDD (8) 2024: 342-360 - [i142]Abhisek Tiwari, Shreyangshu Bera, Sriparna Saha, Pushpak Bhattacharyya, Samrat Ghosh:
Yes, this is what I was looking for! Towards Multi-modal Medical Consultation Concern Summary Generation. CoRR abs/2401.05134 (2024) - [i141]Settaluri Lakshmi Sravanthi, Meet Doshi, Tankala Pavan Kalyan, V. Rudra Murthy, Pushpak Bhattacharyya, Raj Dabre:
PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities. CoRR abs/2401.07078 (2024) - [i140]Krishanu Maity, Prince Jha, Raghav Jain, Sriparna Saha, Pushpak Bhattacharyya:
Explain Thyself Bully: Sentiment Aided Cyberbullying Detection with Explanation. CoRR abs/2401.09023 (2024) - [i139]Prince Jha, Krishanu Maity, Raghav Jain, Apoorv Verma, Sriparna Saha, Pushpak Bhattacharyya:
Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations. CoRR abs/2401.09899 (2024) - [i138]Tejpalsingh Siledar, Swaroop Nath, Sankara Sri Raghava Ravindra Muddu, Rupasai Rangaraju, Swaprava Nath, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Sudhanshu Shekhar Singh, Muthusamy Chelliah, Nikesh Garera:
One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation. CoRR abs/2402.11683 (2024) - [i137]Swaroop Nath, Tejpalsingh Siledar, Sankara Sri Raghava Ravindra Muddu, Rupasai Rangaraju, Harshad Khadilkar, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Sudhanshu Shekhar Singh, Muthusamy Chelliah, Nikesh Garera:
Leveraging Domain Knowledge for Efficient Reward Modelling in RLHF: A Case-Study in E-Commerce Opinion Summarization. CoRR abs/2402.15473 (2024) - [i136]Swaroop Nath, Harshad Khadilkar, Pushpak Bhattacharyya:
Transformers are Expressive, But Are They Expressive Enough for Regression? CoRR abs/2402.15478 (2024) - [i135]Avadhut Sardeshmukh, Sreedhar Reddy, Gautham B. P., Pushpak Bhattacharyya:
Material Microstructure Design Using VAE-Regression with Multimodal Prior. CoRR abs/2402.17806 (2024) - [i134]Meet Doshi, Raj Dabre, Pushpak Bhattacharyya:
Do Not Worry if You Do Not Have Data: Building Pretrained Language Models Using Translationese. CoRR abs/2403.13638 (2024) - [i133]Nihar Ranjan Sahoo, Pranamya Prashant Kulkarni, Narjis Asad, Arif Ahmad, Tanu Goyal, Aparna Garimella, Pushpak Bhattacharyya:
IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context. CoRR abs/2403.20147 (2024) - [i132]Poulami Ghosh, Shikhar Vashishth, Raj Dabre, Pushpak Bhattacharyya:
A Morphology-Based Investigation of Positional Encodings. CoRR abs/2404.04530 (2024) - [i131]Tejpalsingh Siledar, Rupasai Rangaraju, Sankara Sri Raghava Ravindra Muddu, Suman Banerjee, Amey Patil, Sudhanshu Shekhar Singh, Muthusamy Chelliah, Nikesh Garera, Swaprava Nath, Pushpak Bhattacharyya:
Product Description and QA Assisted Self-Supervised Opinion Summarization. CoRR abs/2404.05243 (2024) - [i130]Aditya Joshi, Jake Renzella, Pushpak Bhattacharyya, Saurav Jha, Xiangyu Zhang:
On the relevance of pre-neural approaches in natural language processing pedagogy. CoRR abs/2405.09854 (2024) - [i129]Krishanu Maity, A. S. Poornash, Sriparna Saha, Pushpak Bhattacharyya:
ToxVidLLM: A Multimodal LLM-based Framework for Toxicity Detection in Code-Mixed Videos. CoRR abs/2405.20628 (2024) - [i128]Abisek Rajakumar Kalarani, Pushpak Bhattacharyya, Sumit Shekhar:
Seeing the Unseen: Visual Metaphor Captioning for Videos. CoRR abs/2406.04886 (2024) - [i127]Prince Jha, Raghav Jain, Konika Mandal, Aman Chadha, Sriparna Saha, Pushpak Bhattacharyya:
MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention. CoRR abs/2406.05344 (2024) - [i126]Manas Jhalani, K. M. Annervaz, Pushpak Bhattacharyya:
Precision Empowers, Excess Distracts: Visual Question Answering With Dynamically Infused Knowledge In Language Models. CoRR abs/2406.09994 (2024) - [i125]Tathagata Dey, Pushpak Bhattacharyya:
Facts-and-Feelings: Capturing both Objectivity and Subjectivity in Table-to-Text Generation. CoRR abs/2406.10560 (2024) - [i124]Palash Moon, Pushpak Bhattacharyya:
We Care: Multimodal Depression Detection and Knowledge Infused Mental Health Therapeutic Response Generation. CoRR abs/2406.10561 (2024) - [i123]Sankara Sri Raghava Ravindra Muddu, Rupasai Rangaraju, Tejpalsingh Siledar, Swaroop Nath, Pushpak Bhattacharyya, Swaprava Nath, Suman Banerjee, Amey Patil, Muthusamy Chelliah, Sudhanshu Shekhar Singh, Nikesh Garera:
Distilling Opinions at Scale: Incremental Opinion Summarization using XL-OPSUMM. CoRR abs/2406.10886 (2024) - [i122]Bhavani Shankar, Preethi Jyothi, Pushpak Bhattacharyya:
CoSTA: Code-Switched Speech Translation using Aligned Speech-Text Interleaving. CoRR abs/2406.10993 (2024) - [i121]Sameer Pimparkhede, Mehant Kammakomati, Srikanth G. Tamilselvam, Prince Kumar, Ashok Pon Kumar, Pushpak Bhattacharyya:
DocCGen: Document-based Controlled Code Generation. CoRR abs/2406.11925 (2024) - [i120]Pranav Gaikwad, Meet Doshi, Raj Dabre, Pushpak Bhattacharyya:
How effective is Multi-source pivoting for Translation of Low Resource Indian Languages? CoRR abs/2406.13332 (2024) - [i119]Raja Kumar, Kishan Maharaj, Ashita Saxena, Pushpak Bhattacharyya:
Mental Disorder Classification via Temporal Representation of Text. CoRR abs/2406.15470 (2024) - [i118]Ramakrishna Appicharla, Baban Gain, Santanu Pal, Asif Ekbal, Pushpak Bhattacharyya:
A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning. CoRR abs/2407.03076 (2024) - [i117]Mehant Kammakomati, Sameer Pimparkhede, Srikanth Tamilselvam, Prince Kumar, Pushpak Bhattacharyya:
ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages. CoRR abs/2407.03387 (2024) - [i116]Nithish Kannen, Arif Ahmad, Marco Andreetto, Vinodkumar Prabhakaran, Utsav Prabhu, Adji Bousso Dieng, Pushpak Bhattacharyya, Shachi Dave:
Beyond Aesthetics: Cultural Competence in Text-to-Image Models. CoRR abs/2407.06863 (2024) - [i115]Arif Ahmad, Mothika Gayathri Khyathi, Pushpak Bhattacharyya:
Looks can be Deceptive: Distinguishing Repetition Disfluency from Reduplication. CoRR abs/2407.08147 (2024) - [i114]Dishank Aggarwal, Pushpak Bhattacharyya, Bhaskaran Raman:
"I understand why I got this grade": Automatic Short Answer Grading with Feedback. CoRR abs/2407.12818 (2024) - 2023
- [b3]Sachin Sharad Pawar, Pushpak Bhattacharyya, Girish Keshav Palshikar:
Investigations in Entity Relationship Extraction. Studies in Computational Intelligence 1058, Springer 2023, ISBN 978-981-19-5390-3, pp. 1-127 - [j96]Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya:
VAD-assisted multitask transformer framework for emotion recognition and intensity prediction on suicide notes. Inf. Process. Manag. 60(2): 103234 (2023) - [j95]Soumitra Ghosh, Amit Priyankar, Asif Ekbal, Pushpak Bhattacharyya:
Multitasking of sentiment detection and emotion recognition in code-mixed Hinglish data. Knowl. Based Syst. 260: 110182 (2023) - [j94]Dushyant Singh Chauhan, Gopendra Vikram Singh, Asif Ekbal, Pushpak Bhattacharyya:
MHaDiG: A Multilingual Humor-aided Multiparty Dialogue Generation in multimodal conversational setting. Knowl. Based Syst. 278: 110840 (2023) - [j93]Mauajama Firdaus, Gopendra Vikram Singh, Asif Ekbal, Pushpak Bhattacharyya:
Affect-GCN: a multimodal graph convolutional network for multi-emotion with intensity recognition and sentiment analysis in dialogues. Multim. Tools Appl. 82(28): 43251-43272 (2023) - [j92]Soumitra Ghosh, Amit Priyankar, Asif Ekbal, Pushpak Bhattacharyya:
A transformer-based multi-task framework for joint detection of aggression and hate on social media data. Nat. Lang. Eng. 29(6): 1495-1515 (2023) - [j91]Mauajama Firdaus, Naveen Thangavelu, Asif Ekbal, Pushpak Bhattacharyya:
I Enjoy Writing and Playing, Do You?: A Personalized and Emotion Grounded Dialogue Agent Using Generative Adversarial Network. IEEE Trans. Affect. Comput. 14(3): 2127-2138 (2023) - [j90]Abhisek Tiwari, Rishav Raj, Sriparna Saha, Pushpak Bhattacharyya, Sarbajeet Tiwari, Minakshi Dhar:
Toward Symptom Assessment Guided Symptom Investigation and Disease Diagnosis. IEEE Trans. Artif. Intell. 4(6): 1752-1766 (2023) - [j89]Santosh Kumar Mishra, Harshit, Sriparna Saha, Pushpak Bhattacharyya:
An Object Localization-based Dense Image Captioning Framework in Hindi. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(2): 33:1-33:15 (2023) - [j88]Santosh Kumar Mishra, Sushant Sinha, Sriparna Saha, Pushpak Bhattacharyya:
Dynamic Convolution-based Encoder-Decoder Framework for Image Captioning in Hindi. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(4): 112:1-112:18 (2023) - [j87]Santosh Kumar Mishra, Soham Chakraborty, Sriparna Saha, Pushpak Bhattacharyya:
GAGPT-2: A Geometric Attention-based GPT-2 Framework for Image Captioning in Hindi. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(10): 241:1-241:16 (2023) - [j86]Gopendra Vikram Singh, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya:
EmoInt-Trans: A Multimodal Transformer for Identifying Emotions and Intents in Social Conversations. IEEE ACM Trans. Audio Speech Lang. Process. 31: 290-300 (2023) - [j85]Chanchal Suman, Rohit Chaudhari, Sriparna Saha, Sudhir Kumar, Pushpak Bhattacharyya:
Investigations in Emotion Aware Multimodal Gender Prediction Systems From Social Media Data. IEEE Trans. Comput. Soc. Syst. 10(2): 470-479 (2023) - [j84]Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya, Tista Saha, Alka Kumar, Shikha Srivastava:
SEHC: A Benchmark Setup to Identify Online Hate Speech in English. IEEE Trans. Comput. Soc. Syst. 10(2): 760-770 (2023) - [j83]Gopendra Vikram Singh, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya:
Unity in Diversity: Multilabel Emoji Identification in Tweets. IEEE Trans. Comput. Soc. Syst. 10(3): 1029-1038 (2023) - [j82]Tulika Saha, Saichethan Miriyala Reddy, Sriparna Saha, Pushpak Bhattacharyya:
Mental Health Disorder Identification From Motivational Conversations. IEEE Trans. Comput. Soc. Syst. 10(3): 1130-1139 (2023) - [j81]Mauajama Firdaus, Arunav Pratap Shandilya, Asif Ekbal, Pushpak Bhattacharyya:
Being Polite: Modeling Politeness Variation in a Personalized Dialog Agent. IEEE Trans. Comput. Soc. Syst. 10(4): 1455-1464 (2023) - [j80]Krishanu Maity, Sriparna Saha, Pushpak Bhattacharyya:
Emoji, Sentiment and Emotion Aided Cyberbullying Detection in Hinglish. IEEE Trans. Comput. Soc. Syst. 10(5): 2411-2420 (2023) - [j79]Chanchal Suman, Sriparna Saha, Pushpak Bhattacharyya:
An Attention-Based Multimodal Siamese Architecture for Tweet-User Verification. IEEE Trans. Comput. Soc. Syst. 10(5): 2764-2772 (2023) - [c491]Kaveri Kale, Pushpak Bhattacharyya, Aditya Shetty, Milind Gune, Kush Shrivastava, Rustom Lawyer, Spriha Biswas:
"Knowledge is Power": Constructing Knowledge Graph of Abdominal Organs and Using Them for Automatic Radiology Report Generation. ACL (industry) 2023: 11-24 - [c490]Naveen Badathala, Abisek Rajakumar Kalarani, Tejpalsingh Siledar, Pushpak Bhattacharyya:
A Match Made in Heaven: A Multi-task Framework for Hyperbole and Metaphor Detection. ACL (Findings) 2023: 388-401 - [c489]Abisek Rajakumar Kalarani, Pushpak Bhattacharyya, Niyati Chhaya, Sumit Shekhar:
"Let's not Quote out of Context": Unified Vision-Language Pretraining for Context Assisted Image Captioning. ACL (industry) 2023: 695-706 - [c488]Vineet Bhat, Preethi Jyothi, Pushpak Bhattacharyya:
Adversarial Training for Low-Resource Disfluency Correction. ACL (Findings) 2023: 8112-8122 - [c487]Sourabh Dattatray Deoghare, Paramveer Choudhary, Diptesh Kanojia, Tharindu Ranasinghe, Pushpak Bhattacharyya, Constantin Orasan:
A Multi-task Learning Framework for Quality Estimation. ACL (Findings) 2023: 9191-9205 - [c486]Kaveri Kale, Pushpak Bhattacharyya, Kshitij Jadhav:
Replace and Report: NLP Assisted Radiology Report Generation. ACL (Findings) 2023: 10731-10742 - [c485]Nihar Sahoo, Niteesh Mallela, Pushpak Bhattacharyya:
With Prejudice to None: A Few-Shot, Multilingual Transfer Learning Approach to Detect Social Bias in Low Resource Languages. ACL (Findings) 2023: 13316-13330 - [c484]Akshay Batheja, Pushpak Bhattacharyya:
"A Little is Enough": Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation. ACL (Findings) 2023: 14175-14185 - [c483]Abhisek Tiwari, Anisha Saha, Sriparna Saha, Pushpak Bhattacharyya, Minakshi Dhar:
Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization. CIKM 2023: 2452-2461 - [c482]Mauzama Firdaus, Gopendra Vikram Singh, Asif Ekbal, Pushpak Bhattacharyya:
Multi-step Prompting for Few-shot Emotion-Grounded Conversations. CIKM 2023: 3886-3891 - [c481]Tejpalsingh Siledar, Jigar Makwana, Pushpak Bhattacharyya:
Aspect-Sentiment-based Opinion Summarization using Multiple Information Sources. COMAD/CODS 2023: 55-61 - [c480]Kaveri Kale, Pushpak Bhattacharyya, Milind Gune, Aditya Shetty, Rustom Lawyer:
KGVL-BART: Knowledge Graph Augmented Visual Language BART for Radiology Report Generation. EACL 2023: 3393-3403 - [c479]Zishan Ahmad, Kshitij Mishra, Asif Ekbal, Pushpak Bhattacharyya:
RPTCS: A Reinforced Persona-aware Topic-guiding Conversational System. EACL 2023: 3464-3476 - [c478]Abhisek Tiwari, Aman Bhansali, Sriparna Saha, Pushpak Bhattacharyya, Preeti Verma, Minakshi Dhar:
Local context is not enough! Towards Query Semantic and Knowledge Guided Multi-Span Medical Question Answering. ECAI 2023: 2354-2361 - [c477]Gopendra Vikram Singh, Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya:
DeCoDE: Detection of Cognitive Distortion and Emotion Cause Extraction in Clinical Conversations. ECIR (2) 2023: 156-171 - [c476]Saiful Haq, Ashutosh Sharma, Pushpak Bhattacharyya:
Angel: Enterprise Search System for the Non-Profit Industry. EMNLP (Industry Track) 2023: 828-835 - [c475]Sourabh Dattatray Deoghare, Diptesh Kanojia, Frédéric Blain, Tharindu Ranasinghe, Pushpak Bhattacharyya:
Quality Estimation-Assisted Automatic Post-Editing. EMNLP (Findings) 2023: 1686-1698 - [c474]Sapan Shah, Sreedhar Reddy, Pushpak Bhattacharyya:
Retrofitting Light-weight Language Models for Emotions using Supervised Contrastive Learning. EMNLP 2023: 3640-3654 - [c473]Kishan Maharaj, Ashita Saxena, Raja Kumar, Abhijit Mishra, Pushpak Bhattacharyya:
Eyes Show the Way: Modelling Gaze Behaviour for Hallucination Detection. EMNLP (Findings) 2023: 11424-11438 - [c472]Vineet Bhat, Preethi Jyothi, Pushpak Bhattacharyya:
DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European Languages. EMNLP (Findings) 2023: 12833-12857 - [c471]Tejpalsingh Siledar, Suman Banerjee, Amey Patil, Sudhanshu Singh, Muthusamy Chelliah, Nikesh Garera, Pushpak Bhattacharyya:
Synthesize, if you do not have: Effective Synthetic Dataset Creation Strategies for Self-Supervised Opinion Summarization in E-commerce. EMNLP (Findings) 2023: 13480-13491 - [c470]Swaroop Nath, Pushpak Bhattacharyya, Harshad Khadilkar:
Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning. EMNLP 2023: 15770-15789 - [c469]Divyank Tiwari, Diptesh Kanojia, Anupama Ray, Apoorva Nunna, Pushpak Bhattacharyya:
Predict and Use: Harnessing Predicted Gaze to Improve Multimodal Sarcasm Detection. EMNLP 2023: 15933-15948 - [c468]Krishanu Maity, Raghav Jain, Prince Jha, Sriparna Saha, Pushpak Bhattacharyya:
GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection. EMNLP 2023: 16632-16645 - [c467]Krishanu Maity, Prince Jha, Raghav Jain, Sriparna Saha, Pushpak Bhattacharyya:
"Explain Thyself Bully": Sentiment Aided Cyberbullying Detection with Explanation. ICDAR (3) 2023: 132-148 - [c466]Ritwik Mishra, Simranjeet Singh, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Pushpak Bhattacharyya:
IndIE: A Multilingual Open Information Extraction Tool For Indic Languages. IJCNLP (Findings) 2023: 312-326 - [c465]Vineet Bhat, Preethi Jyothi, Pushpak Bhattacharyya:
DisfluencyFixer: A tool to enhance Language Learning through Speech To Speech Disfluency Correction. INTERSPEECH 2023: 3681-3682 - [c464]Anusha Prakash, Arun Kumar A, Ashish Seth, Bhagyashree Mukherjee, Ishika Gupta, Jom Kuriakose, Jordan Fernandes, K. V. Vikram, Mano Ranjith Kumar M., Metilda Sagaya Mary, Mohammad Wajahat, Mohana N, Mudit Batra, Navina K, Nihal John George, Nithya Ravi, Pruthwik Mishra, Sudhanshu Srivastava, Vasista Sai Lodagala, Vandan Mujadia, Kada Sai Venkata Vineeth, Vrunda N. Sukhadia, Dipti Misra Sharma, Hema A. Murthy, Pushpak Bhattacharyya, Srinivasan Umesh, Rajeev Sangal:
Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages. INTERSPEECH 2023: 3683-3684 - [c463]Tankala Pavan Kalyan, Preeti Rao, Preethi Jyothi, Pushpak Bhattacharyya:
Narrator or Character: Voice Modulation in an Expressive Multi-speaker TTS. INTERSPEECH 2023: 4808-4812 - [c462]Rajeev Verma, Tirthankar Ghosal, Saprativa Bhattacharjee, Asif Ekbal, Pushpak Bhattacharyya:
ReviVal: Towards Automatically Evaluating the Informativeness of Peer Reviews. SIGIR-AP 2023: 95-103 - [c461]Siddhesh Pawar, Pushpak Bhattacharyya, Partha Talukdar:
Evaluating Cross Lingual Transfer for Morphological Analysis: a Case Study of Indian Languages. SIGMORPHON 2023: 14-26 - [c460]Pushpak Bhattacharyya, Rajen Chatterjee, Markus Freitag, Diptesh Kanojia, Matteo Negri, Marco Turchi:
Findings of the WMT 2023 Shared Task on Automatic Post-Editing. WMT 2023: 672-681 - [c459]Pranav Gaikwad, Meet Doshi, Sourabh Dattatray Deoghare, Pushpak Bhattacharyya:
Machine Translation Advancements for Low-Resource Indian Languages in WMT23: CFILT-IITB's Effort for Bridging the Gap. WMT 2023: 950-953 - [i113]Ankush Agarwal, Sakharam Gawade, Sachin Channabasavarajendra, Pushpak Bhattacharyya:
There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question Answering. CoRR abs/2301.04013 (2023) - [i112]Akshay Batheja, Pushpak Bhattacharyya:
Improving Machine Translation with Phrase Pair Injection and Corpus Filtering. CoRR abs/2301.08008 (2023) - [i111]Tamali Banerjee, V. Rudra Murthy, Pushpak Bhattacharyya:
Denoising-based UNMT is more robust to word-order divergence than MASS-based UNMT. CoRR abs/2303.01191 (2023) - [i110]Shivam Mhaskar, Vineet Bhat, Akshay Batheja, Sourabh Dattatray Deoghare, Paramveer Choudhary, Pushpak Bhattacharyya:
VAKTA-SETU: A Speech-to-Speech Machine Translation Service in Select Indic Languages. CoRR abs/2305.12518 (2023) - [i109]Vineet Bhat, Preethi Jyothi, Pushpak Bhattacharyya:
DisfluencyFixer: A tool to enhance Language Learning through Speech To Speech Disfluency Correction. CoRR abs/2305.16957 (2023) - [i108]Naveen Badathala, Abisek Rajakumar Kalarani, Tejpalsingh Siledar, Pushpak Bhattacharyya:
A Match Made in Heaven: A Multi-task Framework for Hyperbole and Metaphor Detection. CoRR abs/2305.17480 (2023) - [i107]Abisek Rajakumar Kalarani, Pushpak Bhattacharyya, Niyati Chhaya, Sumit Shekhar:
"Let's not Quote out of Context": Unified Vision-Language Pretraining for Context Assisted Image Captioning. CoRR abs/2306.00931 (2023) - [i106]Akshay Batheja, Pushpak Bhattacharyya:
"A Little is Enough": Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation. CoRR abs/2306.03507 (2023) - [i105]Vineet Bhat, Preethi Jyothi, Pushpak Bhattacharyya:
Adversarial Training For Low-Resource Disfluency Correction. CoRR abs/2306.06384 (2023) - [i104]