Lovekesh Vig
26 papers · 2017–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (61) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π€
Dynamic Duo
(13)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
(3)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Renaissance Researcher
(6)
ποΈ
Keyword Collector
(121)
Venues
Top co-authors
Research topics
Natural Language Processing
(18)
Artificial Intelligence
(16)
Machine Learning
(16)
Core AI
(15)
Applications
(13)
Learning Types Β· Machine Learning
(11)
Deep Learning
(8)
Learning Types Β· Deep Learning
(6)
Resources & Methods
(6)
Core Methods
(5)
Generation
(5)
Application Areas
(4)
Optimization & Theory
(4)
Knowledge & Reasoning
(3)
Architectures
(3)
Keywords
large language model
(11)
domain adaptation
(3)
knowledge retrieval
(3)
prompt engineering
(2)
iterative back-translation
(2)
text generation
(2)
iterative refinement
(2)
program synthesis
(2)
neural machine translation
(2)
scientific discovery
(2)
text classification
(2)
intent detection
(2)
scientific research
(2)
confidence calibration
(2)
benchmark evaluation
(2)
natural language inference
(1)
machine translation
(1)
information bottleneck
(1)
weakly supervised learning
(1)
knowledge transfer
(1)
Papers
Refine and Align: Confidence Calibration Through Multi-Agent Interaction in VQA
AAAI 2026
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
IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery
ACL 2025
LLM Based Efficient CSR Summarization using Structured Fact Extraction and Feedback
NAACL 2025
MIR: Methodology Inspiration Retrieval for Scientific Research Problems
ACL 2025
An Interactive Co-Pilot for Accelerated Research Ideation
NAACL 2024
AutoRef: Generating Refinements of Reviews Given Guidelines
ACL 2024
Beyond Retrieval: Topic-based Alignment of Scientific Papers to Research Proposal
ACL 2024
Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback
AAAI 2024
Translating Across Cultures: LLMs for Intralingual Cultural Adaptation
CoNLL 2024
Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting
EMNLP 2023
Calibrating Deep Neural Networks Using Explicit Regularisation and Dynamic Data Pruning
WACV 2023
Can You Translate for Me? Code-Switched Machine Translation with Large Language Models
IJCNLP 2023
Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions
ACL 2023
Program Synthesis for Complex QA on Charts via Probabilistic Grammar Based Filtered Iterative Back-Translation
EACL 2023
Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering
NAACL 2022
Prompt Augmented Generative Replay via Supervised Contrastive Learning for Lifelong Intent Detection
NAACL 2022
Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract)
AAAI 2022
Domain Adaptation for NMT via Filtered Iterative Back-Translation
EACL 2021
Improving NMT via Filtered Back Translation
AACL 2020
From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training
EMNLP 2019
Logical Explanations for Deep Relational Machines Using Relevance Information
JMLR 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