Relevance Feedback with Brain Signals
The Relevance Feedback (RF) process relies on accurate and real-time relevance
estimation of feedback documents to improve retrieval performance. Since collecting explicit …
estimation of feedback documents to improve retrieval performance. Since collecting explicit …
Mitigating entity-level hallucination in large language models
The emergence of Large Language Models (LLMs) has revolutionized how users access
information, shifting from traditional search engines to direct question-and-answer …
information, shifting from traditional search engines to direct question-and-answer …
Unsupervised real-time hallucination detection based on the internal states of large language models
Hallucinations in large language models (LLMs) refer to the phenomenon of LLMs
producing responses that are coherent yet factually inaccurate. This issue undermines the …
producing responses that are coherent yet factually inaccurate. This issue undermines the …
Dragin: Dynamic retrieval augmented generation based on the real-time information needs of large language models
Dynamic retrieval augmented generation (RAG) paradigm actively decides when and what
to retrieve during the text generation process of Large Language Models (LLMs). There are …
to retrieve during the text generation process of Large Language Models (LLMs). There are …
Why Don't You Click: Understanding Non-Click Results in Web Search with Brain Signals
Web search heavily relies on click-through behavior as an essential feedback signal for
performance evaluation and improvement. Traditionally, click is usually treated as a positive …
performance evaluation and improvement. Traditionally, click is usually treated as a positive …
Understanding User Immersion in Online Short Video Interaction
Short video~(SV) online streaming has been one of the most popular Internet applications in
recent years. When browsing SVs, users gradually immerse themselves and derive …
recent years. When browsing SVs, users gradually immerse themselves and derive …
Brain topography adaptive network for satisfaction modeling in interactive information access system
With the growth of information on the Web, most users heavily rely on information access
systems (eg, search engines, recommender systems, etc.) in their daily lives. During this …
systems (eg, search engines, recommender systems, etc.) in their daily lives. During this …
Towards a better understanding of human reading comprehension with brain signals
Reading comprehension is a complex cognitive process involving many human brain
activities. However, little is known about what happens in human brain during reading …
activities. However, little is known about what happens in human brain during reading …
STARD: A Chinese Statute Retrieval Dataset Derived from Real-life Queries by Non-professionals
Statute retrieval aims to find relevant statutory articles for specific queries. This process is the
basis of a wide range of legal applications such as legal advice, automated judicial …
basis of a wide range of legal applications such as legal advice, automated judicial …
Query augmentation by decoding semantics from brain signals
Query augmentation is a crucial technique for refining semantically imprecise queries.
Traditionally, query augmentation relies on extracting information from initially retrieved …
Traditionally, query augmentation relies on extracting information from initially retrieved …