Deepak Gupta
29 papers · 2017–2026 · 12 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (11) 🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)
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Hot Topic Early Bird
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Conference Polyglot
(11)
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Academic Marathon
(9)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
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Unstoppable
(7)
⚡
Prolific Year
(5)
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Conference Pioneer
💎
Century Club
(26)
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The Questioner
(4)
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Keyword Collector
(116)
Conferences
ACL (7)
NAACL (5)
COLING (3)
WACV (3)
EACL (2)
EMNLP (2)
IJCNLP (2)
AACL (1)
CONLL (1)
ICLR (1)
IJCAI (1)
SEMEVAL (1)
Top co-authors
Keywords
visual question answering
(4)
large language model
(4)
multi-modal learning
(3)
question summarization
(3)
medical question answering
(3)
reinforcement learning
(3)
knowledge distillation
(3)
medical video
(2)
domain adaptation
(2)
multimodal learning
(2)
transfer learning
(2)
semantic reward
(2)
abstractive summarization
(2)
question generation
(2)
model compression
(2)
retrieval-augmented generation
(2)
text classification
(1)
sentiment analysis
(1)
zero-shot learning
(1)
feature extraction
(1)
Papers
MEDAL: multi-modal MEta-space Distillation and ALignment for Visual Compatibility Learning
WACV 2026
SELENE: Selective and Evidence-Weighted LLM Debating for Efficient and Reliable Reasoning
EACL 2026
NEST: Nested Evidence Survival for Retrieval
ACL 2026
ReflectiveRAG: Rethinking Adaptivity in Retrieval-Augmented Generation
EACL 2026
Can Large Language Models Accurately Generate Answer Keys for Health-related Questions?
ACL 2025
Will Gen Z users look for evidence to verify QA System-generated answers?
NAACL 2025
Break-Ideate-Generate (BrIdGe): Moving beyond Translations for Localization using LLMs
NAACL 2025
MoEMoE: Question Guided Dense and Scalable Sparse Mixture-of-Expert for Multi-source Multi-modal Answering
NAACL 2025
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
IJCAI 2024
Surgical Feature-Space Decomposition of LLMs: Why, When and How?
ACL 2024
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
ACL 2024
Towards Answering Health-related Questions from Medical Videos: Datasets and Approaches
COLING 2024
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning
WACV 2024
CoD: Coherent Detection of Entities From Images With Multiple Modalities
WACV 2024
Large Scale Generative Multimodal Attribute Extraction for E-commerce Attributes
ACL 2023
Overview of the MedVidQA 2022 Shared Task on Medical Video Question-Answering
ACL 2022
Distantly Supervised Aspect Clustering And Naming For E-Commerce Reviews
NAACL 2022
NLM at MEDIQA 2021: Transfer Learning-based Approaches for Consumer Question and Multi-Answer Summarization
NAACL 2021
Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards
ACL 2021
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations
ICLR 2021
Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation
EMNLP 2021
Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards
IJCNLP 2021
Reinforced Multi-task Approach for Multi-hop Question Generation
COLING 2020
A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning
EMNLP 2020
A Unified Framework for Multilingual and Code-Mixed Visual Question Answering
AACL 2020
Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy
COLING 2018
Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering
CONLL 2018
IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue Identification
SEMEVAL 2017
IITP at IJCNLP-2017 Task 4: Auto Analysis of Customer Feedback using CNN and GRU Network
IJCNLP 2017