A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms.
CoRR, April, 2025
Do RAG Systems Cover What Matters? Evaluating and Optimizing Responses with Sub-Question Coverage.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Making Large Language Models into World Models with Precondition and Effect Knowledge.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach.
CoRR, 2024
Foundation Models for Recommender Systems: A Survey and New Perspectives.
CoRR, 2024
Interact with the Explanations: Causal Debiased Explainable Recommendation System.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Creating Suspenseful Stories: Iterative Planning with Large Language Models.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer.
CoRR, 2023
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Guiding Neural Story Generation with Reader Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Cost-Sensitive Active Learning for Dialogue State Tracking.
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, 2018
Towards Universal Dialogue State Tracking.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018