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Research papers

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A starter bibliography from arXiv, OpenReview, PMLR and ACL Anthology. Metadata identifies papers and observed versions; it does not establish full-text access, peer review or scientific accuracy. Matching DOI or arXiv work identifiers group records while preserving their original versions.

26 matching works · 40 starter records. Author, year and DOI filters apply to this bibliography.

Research paper · metadata only

SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs

Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin

ICLR 2024 poster · 2024

Metadata observed 2026-10-06 · OpenReview

Conference paper · Peer review unknown

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Research paper · metadata only

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Mingxing Tan, Quoc Le

International Conference on Machine Learning · 2019

Metadata observed 2026-10-06 · PMLR

Conference paper · Peer review unknown

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Research paper · metadata only

ReAct: Synergizing Reasoning and Acting in Language Models

Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, Yuan Cao

2022 · arXiv 2210.03629v3

Metadata observed 2026-10-06 · arXiv

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Research paper · metadata only

A Simple Framework for Contrastive Learning of Visual Representations

Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey Hinton

International Conference on Machine Learning · 2020

Metadata observed 2026-10-06 · PMLR

Conference paper · Peer review unknown

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Research paper · metadata only

Toolformer: Language Models Can Teach Themselves to Use Tools

Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom

2023 · arXiv 2302.04761v1

Metadata observed 2026-10-06 · arXiv

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Research paper · metadata only

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Chelsea Finn, Pieter Abbeel, Sergey Levine

International Conference on Machine Learning · 2017

Metadata observed 2026-10-06 · PMLR

Conference paper · Peer review unknown

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Research paper · metadata only

Reflexion: Language Agents with Verbal Reinforcement Learning

Noah Shinn, Federico Cassano, Edward Berman, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao

2023 · arXiv 2303.11366v4

Metadata observed 2026-10-06 · arXiv

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Research paper · metadata only

Retrieval-Enhanced Contrastive Vision-Text Models

Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid

ICLR 2024 poster · 2024

Metadata observed 2026-10-06 · OpenReview

Conference paper · Peer review unknown

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Research paper · metadata only

Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Yarin Gal, Zoubin Ghahramani

International Conference on Machine Learning · 2016

Metadata observed 2026-10-06 · PMLR

Conference paper · Peer review unknown

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Research paper · metadata only

AgentBench: Evaluating LLMs as Agents

Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang

ICLR 2024 poster · 2024

Metadata observed 2026-10-06 · OpenReview

Conference paper · Peer review unknown

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Research paper · metadata only

Learning Transferable Visual Models From Natural Language Supervision

Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, Ilya Sutskever

International Conference on Machine Learning · 2021

Metadata observed 2026-10-06 · PMLR

Conference paper · Peer review unknown

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Research paper · metadata only

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Jiale Liu, Ahmed Hassan Awadallah, Ryen W White, Doug Burger, Chi Wang

2023 · arXiv 2308.08155v2

Metadata observed 2026-10-06 · arXiv

Preprint · Peer review unknown

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Research paper · metadata only

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, Sergey Levine

International Conference on Machine Learning · 2018

Metadata observed 2026-10-06 · PMLR

Conference paper · Peer review unknown

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Research paper · metadata only

Lost in the Middle: How Language Models Use Long Contexts

Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang

2023 · arXiv 2307.03172v3

Metadata observed 2026-10-06 · arXiv

Preprint · Peer review unknown

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Research paper · metadata only

Improved Denoising Diffusion Probabilistic Models

Alexander Quinn Nichol, Prafulla Dhariwal

International Conference on Machine Learning · 2021

Metadata observed 2026-10-06 · PMLR

Conference paper · Peer review unknown

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Research paper · metadata only

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mane, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viegas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng

2016 · arXiv 1603.04467v2

Metadata observed 2026-10-06 · arXiv

Preprint · Peer review unknown

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Research paper · metadata only

Theoretically Principled Trade-off between Robustness and Accuracy

Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric Xing, Laurent El Ghaoui, Michael Jordan

International Conference on Machine Learning · 2019

Metadata observed 2026-10-06 · PMLR

Conference paper · Peer review unknown

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Research paper · metadata only

Efficient Memory Management for Large Language Model Serving with PagedAttention

Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph E. Gonzalez, Hao Zhang, Ion Stoica

2023 · arXiv 2309.06180v1

Metadata observed 2026-10-06 · arXiv

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Research paper · metadata only

Bleu: a Method for Automatic Evaluation of Machine Translation

Kishore Papineni, Salim Roukos, Todd Ward, Wei-Jing Zhu

Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics · 2002 · DOI 10.3115/1073083.1073135

Metadata observed 2026-10-06 · ACL Anthology

Conference paper · Peer review unknown

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Research paper · metadata only

SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Carlos E. Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, Karthik Narasimhan

2023 · arXiv 2310.06770v3

Metadata observed 2026-10-06 · arXiv

Preprint · Peer review unknown

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Research paper · metadata only

Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM

Deepak Narayanan, Mohammad Shoeybi, Jared Casper, Patrick LeGresley, Mostofa Patwary, Vijay Anand Korthikanti, Dmitri Vainbrand, Prethvi Kashinkunti, Julie Bernauer, Bryan Catanzaro, Amar Phanishayee, Matei Zaharia

2021 · arXiv 2104.04473v5

Metadata observed 2026-10-06 · arXiv

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Research paper · metadata only

LoRA: Low-Rank Adaptation of Large Language Models

Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen

2021 · arXiv 2106.09685v2

Metadata observed 2026-10-06 · arXiv

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Research paper · metadata only

SGLang: Efficient Execution of Structured Language Model Programs

Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, Chuyue Sun, Jeff Huang, Cody Hao Yu, Shiyi Cao, Christos Kozyrakis, Ion Stoica, Joseph E. Gonzalez, Clark Barrett, Ying Sheng

2023 · arXiv 2312.07104v2

Metadata observed 2026-10-06 · arXiv

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Research paper · metadata only

Ray: A Distributed Framework for Emerging AI Applications

Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica

2017 · arXiv 1712.05889v2

Metadata observed 2026-10-06 · arXiv

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