Manish Gupta
51 papers · 2010–2026 · 17 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (91) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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Deep Specialist
(15)
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Dynamic Duo
(13)
🧬
Topic Evolution
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Grand Slam
🧭
Keyword Pioneer
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Mega-Team · Legion
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Prolific Year · Prolific
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Unstoppable · Silver
❓
The Questioner
(4)
💎
Century Club · Silver
🌈
Renaissance Researcher
(10)
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Keyword Collector
(247)
Venues
Top co-authors
Research topics
Machine Learning
(31)
Artificial Intelligence
(26)
Core AI
(23)
Natural Language Processing
(20)
Deep Learning
(18)
Core Methods
(15)
Learning Types · Machine Learning
(14)
Applications
(11)
Learning Types · Deep Learning
(11)
Architectures
(9)
Computer Vision
(8)
Generation
(8)
Application Areas
(7)
Interdisciplinary
(6)
Cognitive Science
(5)
Keywords
large language model
(6)
multimodal learning
(5)
text classification
(5)
brain encoding
(5)
multimodal transformer
(3)
sentence embedding
(3)
fmri brain activity
(3)
vision-language model
(3)
extreme classification
(3)
question generation
(2)
fmri analysis
(2)
offensive language detection
(2)
cross-modal learning
(2)
transfer learning
(2)
instruction tuning
(2)
knowledge distillation
(2)
medical imaging
(2)
information extraction
(2)
natural language processing
(2)
neural decoding
(2)
Papers
Chat-Ghosting: Methods for Auto-Completion in Dialog Systems
EACL 2026
Learning to Ask: Multi-Decoder Fine-Tuning for Multi-Hop Visual Question Generation with External Knowledge
EACL 2026
LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
ACL 2026
Router-Suggest: Dynamic Routing for Multimodal Auto-Completion in Visually-Grounded Dialogs
EACL 2026
Aligning Moments in Time using Video Queries
ICCV 2025
Aligning Text/Speech Representations from Multimodal Models with MEG Brain Activity During Listening
EMNLP 2025
Assess and Prompt: A Generative RL Framework for Improving Engagement in Online Mental Health Communities
EMNLP 2025
CoCoA: Confidence- and Context-Aware Adaptive Decoding for Resolving Knowledge Conflicts in Large Language Models
EMNLP 2025
Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain)
ICLR 2025
IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages?
IJCNLP 2025
LRPLAN: A Multi-Agent Collaboration of Large Language and Reasoning Models for Planning with Implicit & Explicit Constraints
EMNLP 2025
MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification
ICML 2025
Multi-modal brain encoding models for multi-modal stimuli
ICLR 2025
PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures
AAAI 2025
SCULPT: Systematic Tuning of Long Prompts
ACL 2025
Towards Multimodal Question Answering in Educational Domain
IJCNLP 2025
TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planning
ACL 2025
USDC: A Dataset of ̲User ̲Stance and ̲Dogmatism in Long ̲Conversations
ACL 2025
Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions
AAAI 2024
ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos
EMNLP 2024
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
ICLR 2024
Multilingual Bias Detection and Mitigation for Indian Languages
COLING 2024
OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification
ICML 2024
Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering
IJCAI 2023
Empowering Azure Storage with RDMA
NSDI 2023
Frugal Prompting for Dialog Models
EMNLP 2023
How does the brain process syntactic structure while listening?
ACL 2023
Joint processing of linguistic properties in brains and language models
NeurIPS 2023
Multimodal Persona Based Generation of Comic Dialogs
ACL 2023
On Robustness of Finetuned Transformer-based NLP Models
EMNLP 2023
Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity?
Interspeech 2023
WSNet: Towards an Effective Method for Wound Image Segmentation
WACV 2023
Multi-view and Cross-view Brain Decoding
COLING 2022
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?
NAACL 2022
Representation Learning for Conversational Data using Discourse Mutual Information Maximization
NAACL 2022
Robust Outlier Detection by De-Biasing VAE Likelihoods
CVPR 2022
Visio-Linguistic Brain Encoding
COLING 2022
VisToT: Vision-Augmented Table-to-Text Generation
EMNLP 2022
HealTech - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients
WACV 2021
Multi-Task Knowledge Distillation for Eye Disease Prediction
WACV 2021
AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts
COLING 2020
Predicting Clickbait Strength in Online Social Media
COLING 2020
Summaformers @ LaySumm 20, LongSumm 20
EMNLP 2020
FERMI at SemEval-2019 Task 5: Using Sentence embeddings to Identify Hate Speech Against Immigrants and Women in Twitter
SemEval 2019
Fermi at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Sentence Embeddings
SemEval 2019
Fermi at SemEval-2019 Task 8: An elementary but effective approach to Question Discernment in Community QA Forums
SemEval 2019
Multi-label Categorization of Accounts of Sexism using a Neural Framework
EMNLP 2019
Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation
ACL 2018
SSAS: Semantic Similarity for Abstractive Summarization
IJCNLP 2017
IIIT-H at SemEval 2015: Twitter Sentiment Analysis – The Good, the Bad and the Neutral!
SemEval 2015
Shallow Information Extraction from Medical Forum Data
COLING 2010