feedback learning

A Review of Prominent Paradigms for LLM-Based Agents: Tool Use, Planning (Including RAG), and Feedback Learning COLING 2025 HITSZ-HLT at SemEval-2025 Task 8: Multi-turn Interactive Code Generation for Question Answering on Tabular Data SemEval 2025 Once Upon a Time: Interactive Learning for Storytelling with Small Language Models EMNLP 2025 RL-Guider: Leveraging Historical Decisions and Feedback for Drug Editing with Large Language Models ACL 2025 Ask, Assess, and Refine: Rectifying Factual Consistency and Hallucination in LLMs with Metric-Guided Feedback Learning EACL 2024 Chain of Hindsight aligns Language Models with Feedback ICLR 2024 Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback EACL 2024 Safety through feedback in Constrained RL NeurIPS 2024 UniFL: Improve Latent Diffusion Model via Unified Feedback Learning NeurIPS 2024 Improving Contextual Query Rewrite for Conversational AI Agents through User-preference Feedback Learning EMNLP 2023 ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback EMNLP 2023 The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values EMNLP 2023 XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models ACL 2023 Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback NAACL 2022 Self-Aware Feedback-Based Self-Learning in Large-Scale Conversational AI NAACL 2022 Apple Core-dination: Linguistic Feedback and Learning in a Speech-to-Action Shared World Game ACL 2021 Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks CVPR 2019 Learning from Dialogue after Deployment: Feed Yourself, Chatbot! ACL 2019