Lajanugen Logeswaran

62 papers A* 11A 1B 1Journal 34Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gaming the Judge: Unfaithful Chain-of-Thought Can Undermine Agent Evaluation. CoRR Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Sungryull Sohn, Yunxiang Zhang, Moontae Lee, Hao Peng, Lu Wang, Honglak Lee
2026	J	`jnl`	Process Reward Models That Think. Trans. Mach. Learn. Res. Muhammad Khalifa, Rishabh Agarwal, Lajanugen Logeswaran, Jaekyeom Kim, Hao Peng, Moontae Lee, Honglak Lee, Lu Wang
2026	J	`jnl`	Scaling Web Agent Training through Automatic Data Generation and Fine-grained Evaluation. CoRR Lajanugen Logeswaran, Jaekyeom Kim, Sungryull Sohn, Creighton Glasscock, Honglak Lee
2025	J	`jnl`	Cross-Lingual Prompt Steerability: Towards Accurate and Robust LLM Behavior across Languages. CoRR Lechen Zhang, Yusheng Zhou, Tolga Ergen, Lajanugen Logeswaran, Moontae Lee, David Jurgens
2025	J	`jnl`	MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges? CoRR Yunxiang Zhang, Muhammad Khalifa, Shitanshu Bhushan, Grant D. Murphy, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang
2025	J	`jnl`	Process Reward Models That Think. CoRR Muhammad Khalifa, Rishabh Agarwal, Lajanugen Logeswaran, Jaekyeom Kim, Hao Peng, Moontae Lee, Honglak Lee, Lu Wang
2025	A*	`conf`	Revisiting LLM Value Probing Strategies: Are They Robust and Expressive? EMNLP Siqi Shen, Mehar Singh, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Rada Mihalcea
2025	J	`jnl`	Revisiting LLM Value Probing Strategies: Are They Robust and Expressive? CoRR Siqi Shen, Mehar Singh, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Rada Mihalcea
2025	A*	`conf`	Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents. CVPR Yunseok Jang, Yeda Song, Sungryull Sohn, Lajanugen Logeswaran, Tiange Luo, Dong-Ki Kim, Kyunghoon Bae, Honglak Lee
2025	J	`jnl`	Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents. CoRR Yunseok Jang, Yeda Song, Sungryull Sohn, Lajanugen Logeswaran, Tiange Luo, Dong-Ki Kim, Kyunghoon Bae, Honglak Lee
2025	J	`jnl`	Towards Minimal Fine-Tuning of VLMs. CoRR Tiange Luo, Lajanugen Logeswaran, Jaekyeom Kim, Justin Johnson, Honglak Lee
2025	J	`jnl`	Visual Test-time Scaling for GUI Agent Grounding. CoRR Tiange Luo, Lajanugen Logeswaran, Justin Johnson, Honglak Lee
2024	—	`conf`	Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents. EMNLP (Findings) Jaekyeom Kim, Dong-Ki Kim, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee
2024	J	`jnl`	Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents. CoRR Jaekyeom Kim, Dong-Ki Kim, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee
2024	A*	`conf`	AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents. NeurIPS Yao Fu, Dong-Ki Kim, Jaekyeom Kim, Sungryull Sohn, Lajanugen Logeswaran, Kyunghoon Bae, Honglak Lee
2024	J	`jnl`	AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents. CoRR Yao Fu, Dong-Ki Kim, Jaekyeom Kim, Sungryull Sohn, Lajanugen Logeswaran, Kyunghoon Bae, Honglak Lee
2024	—	`conf`	Code Models are Zero-shot Precondition Reasoners. NAACL-HLT Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee
2024	—	`conf`	Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking. EMNLP (Findings) Byoungjip Kim, Youngsoo Jang, Lajanugen Logeswaran, Geon-Hyeong Kim, Yu Jin Kim, Honglak Lee, Moontae Lee
2024	J	`jnl`	SPRIG: Improving Large Language Model Performance by System Prompt Optimization. CoRR Lechen Zhang, Tolga Ergen, Lajanugen Logeswaran, Moontae Lee, David Jurgens
2024	—	`conf`	Small Language Models Need Strong Verifiers to Self-Correct Reasoning. ACL (Findings) Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang
2024	J	`jnl`	Small Language Models Need Strong Verifiers to Self-Correct Reasoning. CoRR Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang
2024	—	`conf`	Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense. NAACL-HLT Siqi Shen, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Soujanya Poria, Rada Mihalcea
2024	J	`jnl`	Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense. CoRR Siqi Shen, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Soujanya Poria, Rada Mihalcea
2024	—	`conf`	When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models. EMNLP (Findings) Mingqian Zheng, Jiaxin Pei, Lajanugen Logeswaran, Moontae Lee, David Jurgens
2024	—	`conf`	You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments. NAACL-HLT Bangzhao Shu, Lechen Zhang, Minje Choi, Lavinia Dunagan, Lajanugen Logeswaran, Moontae Lee, Dallas Card, David Jurgens
2023	A*	`conf`	A Picture is Worth a Thousand Words: Language Models Plan from Pixels. EMNLP Anthony Z. Liu, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee
2023	J	`jnl`	A Picture is Worth a Thousand Words: Language Models Plan from Pixels. CoRR Anthony Z. Liu, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee
2023	J	`jnl`	Code Models are Zero-shot Precondition Reasoners. CoRR Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Zhe Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee
2023	J	`jnl`	Discriminator-Guided Multi-step Reasoning with Language Models. CoRR Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2023	J	`jnl`	Exploring Demonstration Ensembling for In-context Learning. CoRR Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2023	A*	`conf`	Exploring the Benefits of Training Expert Language Models over Instruction Tuning. ICML Joel Jang, Seungone Kim, Seonghyeon Ye, Doyoung Kim, Lajanugen Logeswaran, Moontae Lee, Kyungjae Lee, Minjoon Seo
2023	J	`jnl`	Exploring the Benefits of Training Expert Language Models over Instruction Tuning. CoRR Joel Jang, Seungone Kim, Seonghyeon Ye, Doyoung Kim, Lajanugen Logeswaran, Moontae Lee, Kyungjae Lee, Minjoon Seo
2023	—	`conf`	Few-shot Reranking for Multi-hop QA via Language Model Prompting. ACL (1) Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2023	—	`conf`	GRACE: Discriminator-Guided Chain-of-Thought Reasoning. EMNLP (Findings) Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2023	—	`conf`	Knowledge Unlearning for Mitigating Privacy Risks in Language Models. ACL (1) Joel Jang, Dongkeun Yoon, Sohee Yang, Sungmin Cha, Moontae Lee, Lajanugen Logeswaran, Minjoon Seo
2023	A*	`conf`	Learning Compositional Tasks from Language Instructions. AAAI Lajanugen Logeswaran, Wilka Carvalho, Honglak Lee
2023	A*	`conf`	Merging Generated and Retrieved Knowledge for Open-Domain QA. EMNLP Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2023	J	`jnl`	Merging Generated and Retrieved Knowledge for Open-Domain QA. CoRR Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2023	J	`jnl`	MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning. CoRR Dong-Ki Kim, Sungryull Sohn, Lajanugen Logeswaran, Dongsub Shim, Honglak Lee
2023	J	`jnl`	Multimodal Subtask Graph Generation from Instructional Videos. CoRR Yunseok Jang, Sungryull Sohn, Lajanugen Logeswaran, Tiange Luo, Moontae Lee, Honglak Lee
2023	A*	`conf`	TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. EMNLP Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee
2023	J	`jnl`	TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. CoRR Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee
2023	—	`conf`	Unsupervised Task Graph Generation from Instructional Video Transcripts. ACL (Findings) Lajanugen Logeswaran, Sungryull Sohn, Yunseok Jang, Moontae Lee, Honglak Lee
2023	J	`jnl`	Unsupervised Task Graph Generation from Instructional Video Transcripts. CoRR Lajanugen Logeswaran, Sungryull Sohn, Yunseok Jang, Moontae Lee, Honglak Lee
2022	—	`conf`	Few-shot Subgoal Planning with Language Models. NAACL-HLT Lajanugen Logeswaran, Yao Fu, Moontae Lee, Honglak Lee
2022	J	`jnl`	Few-shot Subgoal Planning with Language Models. CoRR Lajanugen Logeswaran, Yao Fu, Moontae Lee, Honglak Lee
2022	J	`jnl`	Knowledge Unlearning for Mitigating Privacy Risks in Language Models. CoRR Joel Jang, Dongkeun Yoon, Sohee Yang, Sungmin Cha, Moontae Lee, Lajanugen Logeswaran, Minjoon Seo
2022	J	`jnl`	LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA. CoRR Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2021	—	`—`	Sample-efficient Learning and Generalization with Text Representations. Lajanugen Logeswaran
2020	J	`jnl`	Few-shot Sequence Learning with Transformers. CoRR Lajanugen Logeswaran, Ann Lee, Myle Ott, Honglak Lee, Marc'Aurelio Ranzato, Arthur Szlam
2019	—	`conf`	Zero-Shot Entity Linking by Reading Entity Descriptions. ACL (1) Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee
2019	J	`jnl`	Zero-Shot Entity Linking by Reading Entity Descriptions. CoRR Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee
2018	—	`conf`	An efficient framework for learning sentence representations. ICLR (Poster) Lajanugen Logeswaran, Honglak Lee
2018	J	`jnl`	An efficient framework for learning sentence representations. CoRR Lajanugen Logeswaran, Honglak Lee
2018	A*	`conf`	Content preserving text generation with attribute controls. NeurIPS Lajanugen Logeswaran, Honglak Lee, Samy Bengio
2018	J	`jnl`	Content preserving text generation with attribute controls. CoRR Lajanugen Logeswaran, Honglak Lee, Samy Bengio
2018	A*	`conf`	Sentence Ordering and Coherence Modeling using Recurrent Neural Networks. AAAI Lajanugen Logeswaran, Honglak Lee, Dragomir R. Radev
2016	A*	`conf`	Generative Adversarial Text to Image Synthesis. ICML Scott E. Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee
2016	J	`jnl`	Generative Adversarial Text to Image Synthesis. CoRR Scott E. Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee
2016	B	`conf`	Performance, Resource, and Cost Aware Resource Provisioning in the Cloud. CLOUD Lajanugen Logeswaran, H. M. N. Dilum Bandara, H. S. Bhathiya
2016	J	`jnl`	Sentence Ordering using Recurrent Neural Networks. CoRR Lajanugen Logeswaran, Honglak Lee, Dragomir R. Radev
2014	A	`conf`	Solving Jigsaw Puzzles using Paths and Cycles. BMVC Lajanugen Logeswaran