Lajanugen Logeswaran
25 papers · 2016–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (54) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Pioneer
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Dynamic Duo
(21)
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Grand Slam
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Topic Evolution
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Keyword Trendsetter Combo
(4)
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Keyword Pioneer
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Renaissance Researcher
(6)
β
The Questioner
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(131)
Top co-authors
Research topics
Artificial Intelligence
(19)
Core AI
(18)
Natural Language Processing
(15)
Machine Learning
(13)
Learning Types Β· Machine Learning
(12)
Deep Learning
(8)
Resources & Methods
(7)
Applications
(6)
Learning Paradigms
(5)
Models
(5)
Generation
(4)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Reinforcement Learning
(2)
Application Areas
(2)
Keywords
large language model
(7)
language model
(6)
vision-language model
(3)
unsupervised learning
(3)
contrastive learning
(2)
sequential decision making
(2)
pre-trained language model
(2)
in-context learning
(2)
adversarial learning
(1)
mathematical reasoning
(1)
benchmark evaluation
(1)
knowledge transfer
(1)
text-to-image synthesis
(1)
domain adaptation
(1)
zero-shot learning
(1)
prompt engineering
(1)
question answering
(1)
image generation
(1)
chain-of-thought reasoning
(1)
natural language generation
(1)
Papers
Revisiting LLM Value Probing Strategies: Are They Robust and Expressive?
EMNLP 2025
Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents
CVPR 2025
Visual Test-time Scaling for GUI Agent Grounding
ICCV 2025
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
NeurIPS 2024
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents
EMNLP 2024
Code Models are Zero-shot Precondition Reasoners
NAACL 2024
Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking
EMNLP 2024
Small Language Models Need Strong Verifiers to Self-Correct Reasoning
ACL 2024
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense
NAACL 2024
When βA Helpful Assistantβ Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
EMNLP 2024
You donβt need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments
NAACL 2024
A Picture is Worth a Thousand Words: Language Models Plan from Pixels
EMNLP 2023
Exploring the Benefits of Training Expert Language Models over Instruction Tuning
ICML 2023
Few-shot Reranking for Multi-hop QA via Language Model Prompting
ACL 2023
GRACE: Discriminator-Guided Chain-of-Thought Reasoning
EMNLP 2023
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
ACL 2023
Learning Compositional Tasks from Language Instructions
AAAI 2023
Merging Generated and Retrieved Knowledge for Open-Domain QA
EMNLP 2023
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues
EMNLP 2023
Unsupervised Task Graph Generation from Instructional Video Transcripts
ACL 2023
Few-shot Subgoal Planning with Language Models
NAACL 2022
Zero-Shot Entity Linking by Reading Entity Descriptions
ACL 2019
An efficient framework for learning sentence representations
ICLR 2018
Content preserving text generation with attribute controls
NeurIPS 2018
Generative Adversarial Text to Image Synthesis
ICML 2016