1.5k citations · 6.3k across the 95 of their papers we have counts for
18 papers · 1 filter
Long Context vs. RAG for LLMs: An Evaluation and Revisits
Xinze Li, Yixin Cao, Yubo Ma +1
Extending context windows (i.e., Long Context, LC) and using retrievers to selectively access relevant information (i.e., Retrieval-Augmented Generation, RAG) are the two main stra…
Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling
Jie Zou, Aixin Sun, Cheng Long +1
In conversational recommender systems (CRSs), conversations usually involve a set of items and item-related entities or attributes, e.g., director is a related entity of a movie. T…
Hesitation and Tolerance in Recommender Systems
Kuan Zou, Aixin Sun, Yitong Ji +5
Users' interactions with recommender systems often involve more than simple acceptance or rejection. We highlight two overlooked states: hesitation, when people deliberate without…
Sketch: A Toolkit for Streamlining LLM Operations
Xin Jiang, Xiang Li, Wenjia Ma +8
Large language models (LLMs) represented by GPT family have achieved remarkable success. The characteristics of LLMs lie in their ability to accommodate a wide range of tasks throu…
Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias
Lulu Dong, Guoxiu He, Aixin Sun
Short-video recommender systems often exhibit a biased preference to recently released videos. However, not all videos become outdated; certain classic videos can still attract use…
Open-domain Implicit Format Control for Large Language Model Generation
Yiqun Yao, Wenjia Ma, Xuezhi Fang +7
Controlling the format of outputs generated by large language models (LLMs) is a critical functionality in various applications. Current methods typically employ constrained decodi…