conftrace_

user feedback

46 papers

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large language model (13587) recommender system (534) dialogue system (1667) recommendation system (294) language model (4599) question answering (2963) interactive learning (128) reinforcement learning (4352) active learning (1301) multi-document summarization (160)

Papers

WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback ACL 2026
Tailoring Rumor Debunking to You: Diversifying Chinese Rumor-Debunking Passages with an LLM-Driven Simulated Feedback-Enhanced Framework EACL 2026
COSMMIC: Comment-Sensitive Multimodal Multilingual Indian Corpus for Summarization and Headline Generation ACL 2025
Sightation Counts: Leveraging Sighted User Feedback in Building a BLV-aligned Dataset of Diagram Descriptions ACL 2025
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems ACL 2025
iPrOp: Interactive Prompt Optimization for Large Language Models with a Human in the Loop ACL 2025
User Feedback in Human-LLM Dialogues: A Lens to Understand Users But Noisy as a Learning Signal EMNLP 2025
Meetalk: Retrieval-Augmented and Adaptively Personalized Meeting Summarization with Knowledge Learning from User Corrections ACL 2025
Tunable LLM-based Proactive Recommendation Agent ACL 2025
Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues EMNLP 2024
RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models ACL 2024
GenAI Arena: An Open Evaluation Platform for Generative Models NIPS 2024
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers ACL 2024
AcKnowledge: Acquired Knowledge Representation by Small Language Model Without Pre-training ACL 2024
Focused and Collaborative Feedback Integration for Interactive Image Segmentation CVPR 2023
Evidential Interactive Learning for Medical Image Captioning ICML 2023
A User-Centered, Interactive, Human-in-the-Loop Topic Modelling System EACL 2023
Accurate Training of Web-based Question Answering Systems with Feedback from Ranked Users ACL 2023
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths NIPS 2023
User-Centric Democratization towards Social Value Aligned Medical AI Services IJCAI 2023
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling EMNLP 2022
Memory-assisted prompt editing to improve GPT-3 after deployment EMNLP 2022
Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems NIPS 2022
What Do Users Care About? Detecting Actionable Insights from User Feedback NAACL 2022
Simulating Bandit Learning from User Feedback for Extractive Question Answering ACL 2022