Lajanugen Logeswaran
25 papers · 2016–2025 · 9 conferences · across top CS/AI conferences
Achievements
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Taxonomy Completionist
(55)
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Keyword Pioneer
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Hot Topic Early Bird
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Topic Pioneer
π€
Dynamic Duo
(21)
π
Grand Slam
π§¬
Topic Evolution
β‘
Prolific Year
(8)
π
Conference Pioneer
π
Century Club
(25)
ποΈ
Keyword Collector
(133)
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Trend Setter
β
The Questioner
Conferences
EMNLP (8)
ACL (5)
NAACL (4)
ICML (2)
NIPS (2)
AAAI (1)
CVPR (1)
ICCV (1)
ICLR (1)
Top co-authors
Keywords
large language model
(7)
language model
(6)
vision-language model
(2)
unsupervised learning
(2)
in-context learning
(2)
adversarial learning
(1)
benchmark evaluation
(1)
contrastive learning
(1)
domain adaptation
(1)
sequential decision-making
(1)
sequential decision making
(1)
mathematical reasoning
(1)
knowledge transfer
(1)
text-to-image synthesis
(1)
zero-shot learning
(1)
question answering
(1)
natural language generation
(1)
image generation
(1)
prompt engineering
(1)
entity linking
(1)
Papers
Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents
CVPR 2025
Visual Test-time Scaling for GUI Agent Grounding
ICCV 2025
Revisiting LLM Value Probing Strategies: Are They Robust and Expressive?
EMNLP 2025
When βA Helpful Assistantβ Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
EMNLP 2024
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents
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
Code Models are Zero-shot Precondition Reasoners
NAACL 2024
Small Language Models Need Strong Verifiers to Self-Correct Reasoning
ACL 2024
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
NIPS 2024
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense
NAACL 2024
Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking
EMNLP 2024
GRACE: Discriminator-Guided Chain-of-Thought Reasoning
EMNLP 2023
Learning Compositional Tasks from Language Instructions
AAAI 2023
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
ACL 2023
Few-shot Reranking for Multi-hop QA via Language Model Prompting
ACL 2023
Unsupervised Task Graph Generation from Instructional Video Transcripts
ACL 2023
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues
EMNLP 2023
Merging Generated and Retrieved Knowledge for Open-Domain QA
EMNLP 2023
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 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
NIPS 2018
Generative Adversarial Text to Image Synthesis
ICML 2016