conftrace_

instruction following

464 papers

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Also known as

IF

Co-occurring keywords · papers mentioning both

large language model (191) reinforcement learning (38) multimodal learning (38) language model (37) benchmark evaluation (31) instruction tuning (27) vision-language model (24) zero-shot learning (22) direct preference optimization (19) text generation (18)

Papers

Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections EMNLP 2024 Suri: Multi-constraint Instruction Following in Long-form Text Generation EMNLP 2024 Systematic Evaluation of Long-Context LLMs on Financial Concepts EMNLP 2024 TableLlama: Towards Open Large Generalist Models for Tables NAACL 2024 Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests EACL 2024 T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step ACL 2024 TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wild ACL 2024 The False Promise of Imitating Proprietary Language Models ICLR 2024 The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis ACL 2024 The Revolution of Multimodal Large Language Models: A Survey ACL 2024 The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models EMNLP 2024 The Trickle-down Impact of Reward Inconsistency on RLHF ICLR 2024 ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback EMNLP 2024 Towards Learning a Generalist Model for Embodied Navigation CVPR 2024 Toward Zero-Shot Instruction Following EACL 2024 TOWER: Tree Organized Weighting for Evaluating Complex Instructions EMNLP 2024 UltraEdit: Instruction-based Fine-Grained Image Editing at Scale NeurIPS 2024 Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision Language Audio and Action CVPR 2024 Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding EMNLP 2024 Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback NeurIPS 2024 Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models EMNLP 2024 Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement EMNLP 2024 VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation AAAI 2024 WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models ACL 2024 Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models NeurIPS 2024