Deepanway Ghosal

Orcid: 0000-0002-3858-4449

According to our database1, Deepanway Ghosal authored at least 42 papers between 2017 and 2024.

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Bibliography

2024
MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures.
CoRR, 2024

Not All Votes Count! Programs as Verifiers Improve Self-Consistency of Language Models for Math Reasoning.
CoRR, 2024

Improving Text-To-Audio Models with Synthetic Captions.
CoRR, 2024

Are Language Models Puzzle Prodigies? Algorithmic Puzzles Unveil Serious Challenges in Multimodal Reasoning.
CoRR, 2024

Stuck in the Quicksand of Numeracy, Far from AGI Summit: Evaluating LLMs' Mathematical Competency through Ontology-guided Perturbations.
CoRR, 2024

Mustango: Toward Controllable Text-to-Music Generation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning.
CoRR, 2023

STOAT: Structured Data to Analytical Text With Controls.
CoRR, 2023

Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model.
CoRR, 2023

Text-to-Audio Generation using Instruction Guided Latent Diffusion Model.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Prover: Generating Intermediate Steps for NLI with Commonsense Knowledge Retrieval and Next-Step Prediction.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

ReTAG: Reasoning Aware Table to Analytic Text Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
All-in-One: Emotion, Sentiment and Intensity Prediction Using a Multi-Task Ensemble Framework.
IEEE Trans. Affect. Comput., 2022

Multiview Contextual Commonsense Inference: A New Dataset and Task.
CoRR, 2022

Generating Intermediate Steps for NLI with Next-Step Supervision.
CoRR, 2022

Improving Zero-Shot Learning Baselines with Commonsense Knowledge.
Cogn. Comput., 2022

Exemplars-Guided Empathetic Response Generation Controlled by the Elements of Human Communication.
IEEE Access, 2022

Vector Space Interpolation for Query Expansion.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Persuasive dialogue understanding: The baselines and negative results.
Neurocomputing, 2021

Recognizing Emotion Cause in Conversations.
Cogn. Comput., 2021

CIDER: Commonsense Inference for Dialogue Explanation and Reasoning.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

STaCK: Sentence Ordering with Temporal Commonsense Knowledge.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Exploring the Role of Context in Utterance-level Emotion, Act and Intent Classification in Conversations: An Empirical Study.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Recognizing Emotion Cause in Conversations.
CoRR, 2020

Utterance-level Dialogue Understanding: An Empirical Study.
CoRR, 2020

Visual Interest Prediction with Attentive Multi-Task Transfer Learning.
CoRR, 2020

MIME: MIMicking Emotions for Empathetic Response Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

COSMIC: COmmonSense knowledge for eMotion Identification in Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
A Multi-task Ensemble Framework for Emotion, Sentiment and Intensity Prediction.
CoRR, 2018

Music Genre Recognition Using Deep Neural Networks and Transfer Learning.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Deep Ensemble Model with the Fusion of Character, Word and Lexicon Level Information for Emotion and Sentiment Prediction.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Contextual Inter-modal Attention for Multi-modal Sentiment Analysis.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
IITP at SemEval-2017 Task 5: An Ensemble of Deep Learning and Feature Based Models for Financial Sentiment Analysis.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017


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