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TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models., , , , , , , , , and 2 other author(s). CoRR, (2023)Secrets of RLHF in Large Language Models Part II: Reward Modeling., , , , , , , , , and 17 other author(s). CoRR, (2024)Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback., , , , , , , , , and 2 other author(s). CoRR, (2024)Navigating the OverKill in Large Language Models., , , , , , , , , and . CoRR, (2024)Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement., , , , , , , and . CoRR, (2023)RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning., , , , , , , , , and . CoRR, (2024)ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios., , , , , , , , , and 1 other author(s). CoRR, (2024)Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding., , , and . EMNLP, page 4112-4122. Association for Computational Linguistics, (2022)EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models., , , , , , , , , and 11 other author(s). CoRR, (2024)On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection., , , , , and . ACL (Findings), page 13573-13581. Association for Computational Linguistics, (2023)