Lovekesh Vig

28 papers · 2017–2026 · 10 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (8) 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (66) 🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (10) 🤝 Dynamic Duo (13) 🧬 Topic Evolution 🏆 Keyword Champion (2) 🚀 Conference Pioneer 📈 Trend Setter 🗃️ Keyword Collector (121) ⚡ Prolific Year (6) ❓ The Questioner (4) 🔥 Unstoppable (7) 💎 Century Club (27)

Conferences

ACL (7) AAAI (4) NAACL (4) EACL (3) EMNLP (3) AACL (2) IJCNLP (2) CONLL (1) JMLR (1) WACV (1)

Top co-authors

Gautam Shroff (13) Manasi Patwardhan (12) Mayur Patidar (8) Ashwin Srinivasan (4) Arman Cohan (4) Shirish Karande (3) Surabhi Kumari (3) Puneet Agarwal (3) Tirtharaj Dash (3) Vaibhav Varshney (2)

Keywords

large language model (12) domain adaptation (3) knowledge retrieval (3) text classification (2) cultural adaptation (2) cross-cultural knowledge (2) iterative refinement (2) program synthesis (2) neural machine translation (2) scientific discovery (2) intent detection (2) scientific research (2) machine translation (2) iterative back-translation (2) benchmark evaluation (2) prompt engineering (2) text generation (2) confidence calibration (2) natural language inference (1) information bottleneck (1)

Papers

Refine and Align: Confidence Calibration Through Multi-Agent Interaction in VQA AAAI 2026

LLM Based Efficient CSR Summarization using Structured Fact Extraction and Feedback NAACL 2025

AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research ACL 2025

Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers ACL 2025

MIR: Methodology Inspiration Retrieval for Scientific Research Problems ACL 2025

IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery ACL 2025

Beyond Retrieval: Topic-based Alignment of Scientific Papers to Research Proposal ACL 2024

Translating Across Cultures: LLMs for Intralingual Cultural Adaptation EMNLP 2024

An Interactive Co-Pilot for Accelerated Research Ideation NAACL 2024

Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback AAAI 2024

Translating Across Cultures: LLMs for Intralingual Cultural Adaptation CONLL 2024

AutoRef: Generating Refinements of Reviews Given Guidelines ACL 2024

Can You Translate for Me? Code-Switched Machine Translation with Large Language Models IJCNLP 2023

Can You Translate for Me? Code-Switched Machine Translation with Large Language Models AACL 2023

Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions ACL 2023

Calibrating Deep Neural Networks Using Explicit Regularisation and Dynamic Data Pruning WACV 2023

Program Synthesis for Complex QA on Charts via Probabilistic Grammar Based Filtered Iterative Back-Translation EACL 2023

Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting EMNLP 2023

Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract) AAAI 2022

Prompt Augmented Generative Replay via Supervised Contrastive Learning for Lifelong Intent Detection NAACL 2022

Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering NAACL 2022

Domain Adaptation for NMT via Filtered Iterative Back-Translation EACL 2021

Improving NMT via Filtered Back Translation AACL 2020

Logical Explanations for Deep Relational Machines Using Relevance Information JMLR 2019

From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training EMNLP 2019

Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters AAAI 2019

Information Bottleneck Inspired Method For Chat Text Segmentation IJCNLP 2017

Learning and Knowledge Transfer with Memory Networks for Machine Comprehension EACL 2017