Dimitris Papailiopoulos

39 papers A* 13A 1Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Endless Terminals: Scaling RL Environments for Terminal Agents. CoRR Kanishk Gandhi, Shivam Garg, Noah D. Goodman, Dimitris Papailiopoulos
2025	A*	`conf`	Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition. ICML Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios Chrysos, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos
2025	J	`jnl`	Extrapolation by Association: Length Generalization Transfer in Transformers. CoRR Ziyang Cai, Nayoung Lee, Avi Schwarzschild, Samet Oymak, Dimitris Papailiopoulos
2025	A*	`conf`	From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data. ICLR Zheyang Xiong, Vasilis Papageorgiou, Kangwook Lee, Dimitris Papailiopoulos
2025	A	`conf`	How Well Can Transformers Emulate In-Context Newton's Method? AISTATS Angeliki Giannou, Liu Yang, Tianhao Wang, Dimitris Papailiopoulos, Jason D. Lee
2025	A*	`conf`	Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries. ICML Junhyuck Kim, Jongho Park, Jaewoong Cho, Dimitris Papailiopoulos
2025	J	`jnl`	Not All Bits Are Equal: Scale-Dependent Memory Optimization Strategies for Reasoning Models. CoRR Junhyuck Kim, Ethan Ewer, Taehong Moon, Jongho Park, Dimitris Papailiopoulos
2025	J	`jnl`	Phi-4-reasoning Technical Report. CoRR Marah I Abdin, Sahaj Agarwal, Ahmed Awadallah, Vidhisha Balachandran, Harkirat S. Behl, Lingjiao Chen, Gustavo de Rosa, Suriya Gunasekar, Mojan Javaheripi, Neel Joshi, Piero Kauffmann, Yash Lara, Caio César Teodoro Mendes, Arindam Mitra, Besmira Nushi, Dimitris Papailiopoulos, Olli Saarikivi, Shital Shah, Vaishnavi Shrivastava, Vibhav Vineet, Yue Wu, Safoora Yousefi, Guoqing Zheng
2025	J	`jnl`	ReJump: A Tree-Jump Representation for Analyzing and Improving LLM Reasoning. CoRR Yuchen Zeng, Shuibai Zhang, Wonjun Kang, Shutong Wu, Lynnix Zou, Ying Fan, Heeju Kim, Ziqian Lin, Jungtaek Kim, Hyung Il Koo, Dimitris Papailiopoulos, Kangwook Lee
2025	J	`jnl`	Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning. CoRR Vaishnavi Shrivastava, Ahmed Awadallah, Vidhisha Balachandran, Shivam Garg, Harkirat S. Behl, Dimitris Papailiopoulos
2025	A*	`conf`	Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges. ICML Nayoung Lee, Ziyang Cai, Avi Schwarzschild, Kangwook Lee, Dimitris Papailiopoulos
2025	J	`jnl`	Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges. CoRR Nayoung Lee, Ziyang Cai, Avi Schwarzschild, Kangwook Lee, Dimitris Papailiopoulos
2025	J	`jnl`	Task Vectors in In-Context Learning: Emergence, Formation, and Benefit. CoRR Liu Yang, Ziqian Lin, Kangwook Lee, Dimitris Papailiopoulos, Robert D. Nowak
2025	A*	`conf`	VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data. ICML Thomas Zeng, Shuibai Zhang, Shutong Wu, Christian Classen, Daewon Chae, Ethan Ewer, Minjae Lee, Heeju Kim, Wonjun Kang, Jackson Kunde, Ying Fan, Jungtaek Kim, Hyung Il Koo, Kannan Ramchandran, Dimitris Papailiopoulos, Kangwook Lee
2025	J	`jnl`	VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data. CoRR Thomas Zeng, Shuibai Zhang, Shutong Wu, Christian Classen, Daewon Chae, Ethan Ewer, Minjae Lee, Heeju Kim, Wonjun Kang, Jackson Kunde, Ying Fan, Jungtaek Kim, Hyung Il Koo, Kannan Ramchandran, Dimitris Papailiopoulos, Kangwook Lee
2025	J	`jnl`	Wait, Wait, Wait... Why Do Reasoning Models Loop? CoRR Charilaos Pipis, Shivam Garg, Vasilis Kontonis, Vaishnavi Shrivastava, Akshay Krishnamurthy, Dimitris Papailiopoulos
2024	A*	`conf`	CHAI: Clustered Head Attention for Efficient LLM Inference. ICML Saurabh Agarwal, Bilge Acun, Basil Hosmer, Mostafa Elhoushi, Yejin Lee, Shivaram Venkataraman, Dimitris Papailiopoulos, Carole-Jean Wu
2024	J	`jnl`	CHAI: Clustered Head Attention for Efficient LLM Inference. CoRR Saurabh Agarwal, Bilge Acun, Basil Hosmer, Mostafa Elhoushi, Yejin Lee, Shivaram Venkataraman, Dimitris Papailiopoulos, Carole-Jean Wu
2024	A*	`conf`	Can Mamba Learn How To Learn? A Comparative Study on In-Context Learning Tasks. ICML Jongho Park, Jaeseung Park, Zheyang Xiong, Nayoung Lee, Jaewoong Cho, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos
2024	J	`jnl`	Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks. CoRR Jongho Park, Jaeseung Park, Zheyang Xiong, Nayoung Lee, Jaewoong Cho, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos
2024	J	`jnl`	Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition. CoRR Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios G. Chrysos, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos
2024	J	`jnl`	From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data. CoRR Zheyang Xiong, Vasilis Papageorgiou, Kangwook Lee, Dimitris Papailiopoulos
2024	J	`jnl`	How Well Can Transformers Emulate In-context Newton's Method? CoRR Angeliki Giannou, Liu Yang, Tianhao Wang, Dimitris Papailiopoulos, Jason D. Lee
2024	J	`jnl`	Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries. CoRR Junhyuck Kim, Jongho Park, Jaewoong Cho, Dimitris Papailiopoulos
2024	A*	`conf`	Looped Transformers are Better at Learning Learning Algorithms. ICLR Liu Yang, Kangwook Lee, Robert D. Nowak, Dimitris Papailiopoulos
2024	J	`jnl`	Mini-Batch Optimization of Contrastive Loss. Trans. Mach. Learn. Res. Jaewoong Cho, Kartik Sreenivasan, Keon Lee, Kyunghoo Mun, Soheun Yi, Jeong-Gwan Lee, Anna Lee, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee
2024	J	`jnl`	Predictive Pipelined Decoding: A Compute-Latency Trade-off for Exact LLM Decoding. Trans. Mach. Learn. Res. Seongjun Yang, Gibbeum Lee, Jaewoong Cho, Dimitris Papailiopoulos, Kangwook Lee
2024	A*	`conf`	Teaching Arithmetic to Small Transformers. ICLR Nayoung Lee, Kartik Sreenivasan, Jason D. Lee, Kangwook Lee, Dimitris Papailiopoulos
2023	—	`conf`	Cuttlefish: Low-Rank Model Training without All the Tuning. MLSys Hongyi Wang, Saurabh Agarwal, Pongsakorn U.-Chupala, Yoshiki Tanaka, Eric P. Xing, Dimitris Papailiopoulos
2023	A*	`conf`	Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning. NeurIPS Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris Papailiopoulos, Samet Oymak
2023	J	`jnl`	Looped Transformers are Better at Learning Learning Algorithms. CoRR Liu Yang, Kangwook Lee, Robert D. Nowak, Dimitris Papailiopoulos
2023	A*	`conf`	Looped Transformers as Programmable Computers. ICML Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris Papailiopoulos
2023	J	`jnl`	Mini-Batch Optimization of Contrastive Loss. CoRR Jaewoong Cho, Kartik Sreenivasan, Keon Lee, Kyunghoo Mun, Soheun Yi, Jeong-Gwan Lee, Anna Lee, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee
2023	—	`conf`	Prompted LLMs as Chatbot Modules for Long Open-domain Conversation. ACL (Findings) Gibbeum Lee, Volker Hartmann, Jongho Park, Dimitris Papailiopoulos, Kangwook Lee
2023	J	`jnl`	Prompted LLMs as Chatbot Modules for Long Open-domain Conversation. CoRR Gibbeum Lee, Volker Hartmann, Jongho Park, Dimitris Papailiopoulos, Kangwook Lee
2023	J	`jnl`	Teaching Arithmetic to Small Transformers. CoRR Nayoung Lee, Kartik Sreenivasan, Jason D. Lee, Kangwook Lee, Dimitris Papailiopoulos
2023	A*	`conf`	The Expressive Power of Tuning Only the Normalization Layers. COLT Angeliki Giannou, Shashank Rajput, Dimitris Papailiopoulos
2023	A*	`conf`	Transformers as Algorithms: Generalization and Stability in In-context Learning. ICML Yingcong Li, Muhammed Emrullah Ildiz, Dimitris Papailiopoulos, Samet Oymak
2010	—	`conf`	MCMC methods for integer least-squares problems. Allerton Babak Hassibi, Alexandros G. Dimakis, Dimitris Papailiopoulos