Solving Jigsaw Puzzles using Paths and Cycles. - Lajanugen Logeswaran (BMVC, 2014)

Performance, Resource, and Cost Aware Resource Provisioning in the Cloud. - Lajanugen Logeswaran; H. M. N. Dilum Bandara; H. S. Bhathiya (CLOUD, 2016)

Generative Adversarial Text to Image Synthesis. - Scott E. Reed; Zeynep Akata; Xinchen Yan; Lajanugen Logeswaran; Bernt Schiele; Honglak Lee (ICML, 2016)

Sentence Ordering using Recurrent Neural Networks. - Lajanugen Logeswaran; Honglak Lee; Dragomir R. Radev (CoRR, 2016)

Sentence Ordering and Coherence Modeling using Recurrent Neural Networks. - Lajanugen Logeswaran; Honglak Lee; Dragomir R. Radev (AAAI, 2018)

An efficient framework for learning sentence representations. - Lajanugen Logeswaran; Honglak Lee (ICLR (Poster), 2018)

Content preserving text generation with attribute controls. - Lajanugen Logeswaran; Honglak Lee; Samy Bengio (NeurIPS, 2018)

Zero-Shot Entity Linking by Reading Entity Descriptions. - Lajanugen Logeswaran; Ming-Wei Chang; Kenton Lee; Kristina Toutanova; Jacob Devlin; Honglak Lee (ACL (1), 2019)

Few-shot Sequence Learning with Transformers. - Lajanugen Logeswaran; Ann Lee 001; Myle Ott; Honglak Lee; Marc'Aurelio Ranzato; Arthur Szlam (CoRR, 2020)

Sample-efficient Learning and Generalization with Text Representations. - Lajanugen Logeswaran (2021)

Few-shot Subgoal Planning with Language Models. - Lajanugen Logeswaran; Yao Fu; Moontae Lee; Honglak Lee (NAACL-HLT, 2022)

LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2022)

Learning Compositional Tasks from Language Instructions. - Lajanugen Logeswaran; Wilka Carvalho; Honglak Lee (AAAI, 2023)

Knowledge Unlearning for Mitigating Privacy Risks in Language Models. - Joel Jang; Dongkeun Yoon; Sohee Yang; Sungmin Cha; Moontae Lee; Lajanugen Logeswaran; Minjoon Seo (ACL (1), 2023)

Few-shot Reranking for Multi-hop QA via Language Model Prompting. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (ACL (1), 2023)

Unsupervised Task Graph Generation from Instructional Video Transcripts. - Lajanugen Logeswaran; Sungryull Sohn; Yunseok Jang 001; Moontae Lee; Honglak Lee (ACL (Findings), 2023)

GRACE: Discriminator-Guided Chain-of-Thought Reasoning. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (EMNLP (Findings), 2023)

A Picture is Worth a Thousand Words: Language Models Plan from Pixels. - Anthony Z. Liu; Lajanugen Logeswaran; Sungryull Sohn; Honglak Lee (EMNLP, 2023)

TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. - Sungryull Sohn; Yiwei Lyu; Anthony Z. Liu; Lajanugen Logeswaran; Dong-Ki Kim; Dongsub Shim; Honglak Lee (EMNLP, 2023)

Merging Generated and Retrieved Knowledge for Open-Domain QA. - Yunxiang Zhang; Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (EMNLP, 2023)

Exploring the Benefits of Training Expert Language Models over Instruction Tuning. - Joel Jang; Seungone Kim; Seonghyeon Ye; Doyoung Kim 001; Lajanugen Logeswaran; Moontae Lee; Kyungjae Lee 002; Minjoon Seo (ICML, 2023)

Multimodal Subtask Graph Generation from Instructional Videos. - Yunseok Jang 001; Sungryull Sohn; Lajanugen Logeswaran; Tiange Luo; Moontae Lee; Honglak Lee (CoRR, 2023)

Discriminator-Guided Multi-step Reasoning with Language Models. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2023)

Exploring Demonstration Ensembling for In-context Learning. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2023)

MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning. - Dong-Ki Kim; Sungryull Sohn; Lajanugen Logeswaran; Dongsub Shim; Honglak Lee (CoRR, 2023)

Small Language Models Need Strong Verifiers to Self-Correct Reasoning. - Yunxiang Zhang; Muhammad Khalifa; Lajanugen Logeswaran; Jaekyeom Kim; Moontae Lee; Honglak Lee; Lu Wang 008 (ACL (Findings), 2024)

Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking. - Byoungjip Kim; Youngsoo Jang; Lajanugen Logeswaran; Geon-Hyeong Kim; Yu Jin Kim; Honglak Lee; Moontae Lee (EMNLP (Findings), 2024)

Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents. - Jaekyeom Kim; Dong-Ki Kim; Lajanugen Logeswaran; Sungryull Sohn; Honglak Lee (EMNLP (Findings), 2024)

When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models. - Mingqian Zheng; Jiaxin Pei; Lajanugen Logeswaran; Moontae Lee; David Jurgens (EMNLP (Findings), 2024)

Code Models are Zero-shot Precondition Reasoners. - Lajanugen Logeswaran; Sungryull Sohn; Yiwei Lyu; Anthony Z. Liu; Dong-Ki Kim; Dongsub Shim; Moontae Lee; Honglak Lee (NAACL-HLT, 2024)

Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense. - Siqi Shen; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Soujanya Poria; Rada Mihalcea (NAACL-HLT, 2024)

You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments. - Bangzhao Shu; Lechen Zhang; Minje Choi; Lavinia Dunagan; Lajanugen Logeswaran; Moontae Lee; Dallas Card; David Jurgens (NAACL-HLT, 2024)

AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents. - Yao Fu; Dong-Ki Kim; Jaekyeom Kim; Sungryull Sohn; Lajanugen Logeswaran; Kyunghoon Bae; Honglak Lee (NeurIPS, 2024)

AutoGuide: Automated Generation and Selection of State-Aware Guidelines for Large Language Model Agents. - Yao Fu; Dong-Ki Kim; Jaekyeom Kim; Sungryull Sohn; Lajanugen Logeswaran; Kyunghoon Bae; Honglak Lee (CoRR, 2024)

SPRIG: Improving Large Language Model Performance by System Prompt Optimization. - Lechen Zhang; Tolga Ergen; Lajanugen Logeswaran; Moontae Lee; David Jurgens (CoRR, 2024)

Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents. - Yunseok Jang 001; Yeda Song; Sungryull Sohn; Lajanugen Logeswaran; Tiange Luo; Dong-Ki Kim; Kyunghoon Bae; Honglak Lee (CVPR, 2025)

MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges? - Yunxiang Zhang; Muhammad Khalifa; Shitanshu Bhushan; Grant D. Murphy; Lajanugen Logeswaran; Jaekyeom Kim; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2025)

Process Reward Models That Think. - Muhammad Khalifa; Rishabh Agarwal; Lajanugen Logeswaran; Jaekyeom Kim; Hao Peng 009; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2025)

Visual Test-time Scaling for GUI Agent Grounding. - Tiange Luo; Lajanugen Logeswaran; Justin Johnson 001; Honglak Lee (CoRR, 2025)

Revisiting LLM Value Probing Strategies: Are They Robust and Expressive? - Siqi Shen; Mehar Singh; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Rada Mihalcea (CoRR, 2025)