- 2/20 2023 Large Scale Product Graph Construction for Recommendation in E-commerce [Swingi2i]
- 1/10 2023 DRN- A Deep Reinforcement Learning Framework for News Recommendation [RL]
- 10/02 2022 Values of User Exploration in Recommender Systems [Exploration]
- 04/18 2022 A Contextual-Bandit Approach to Personalized News Article Recommendation [LinUCB]
- 04/11 2022 Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations [MAB]
- 3/1 2023 MULTITASK PROMPTED TRAINING ENABLES ZERO-SHOT TASK GENERALIZATION
- 3/1 2023 Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
- 2/27 2023 Scaling Instruction-Finetuned Language Models
- 2/14 2023 Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese [T5]
- 01/08 2023 Training language models to follow instructions with human feedback [GPT]
- 04/05 2022 Adversarial NLI: A New Benchmark for Natural Language Understanding [NLP, ANLI]
- HI + AI pipeline
- 04/03 2022 Evaluating the Factual Consistency of Abstractive Text Summarization [NLG, consistency]
- 04/02 2022 SUMMAC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization [NLG, fact error, hallucinations, inconsistency]
- 03/27 2022 Survey of Hallucination in Natural Language Generation [NLG]
- 03/27 2022 Multi-Fact Correction in Abstractive Text Summarization [NLG, fact error]