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Articles

[2508.07805] Can You Trick the Grader? Adversarial Persuasion of LLM Judges

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By Dongryeol Lee, Taegwan Kang, Yongil Kim, Kyomin Jung
| arxiv.org
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Critic-Guided Decoding for Controlled Text Generation

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By Minbeom Kim, Hwanhee Lee, Joonsuk Park, Kyomin Jung
| scholarship.richmond.edu
10.18653/v1/2023.findings-acl.281 Conference Proceeding ACL materials are Copyright © 1963–2024 ACL; other materials are copyrighted by their respective copyright holders. Materials prior to 2016 here are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 International License. Permission is granted to make copies for the purposes of teaching and research. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License.
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Action-driven contrastive representation for reinforcement learning

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By Kyomin Jung, Minbeom Kim, Kyeongha Rho, Yong-duk Kim
| PLOS
Loading metrics Open Access Peer-reviewed Research Article Minbeom Kim , Kyeongha Rho, Yong-duk Kim, Kyomin Jung Minbeom Kim, Kyeongha Rho, Yong-duk Kim, Kyomin Jung Published: March 18, 2022 https://doi.org/10.1371/journal.pone.0265456 Figures Abstract In reinforcement learning, reward-driven feature learning directly from high-dimensional images faces two challenges: sample-efficiency for solving control tasks and generalization to unseen observations.
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