Information Retrieval (IR) systems are crucial tools for users to access information, widely
applied in scenarios like search engines, question answering, and recommendation …

Experts in various fields routinely perform methodical writing tasks to plan, organize, and
report their work. From a clinician writing a differential diagnosis for a patient, to a teacher …

Knowledge claims are abundant in the literature on large language models (LLMs); but can
we say that GPT-4 truly" knows" the Earth is round? To address this question, we review …

Enabling Large Language Models (LLMs) to generate citations in Question-Answering (QA)
tasks is an emerging paradigm aimed at enhancing the verifiability of their responses when …

Document assistant chatbots are empowered with extensive capabilities by Large Language
Models (LLMs) and have exhibited significant advancements. However, these systems may …

Vision-Language Models (VLMs) have demonstrated remarkable capabilities in
understanding multimodal inputs and have been widely integrated into Retrieval …

Segmenting text into fine-grained units of meaning is important to a wide range of NLP
applications. The default approach of segmenting text into sentences is often insufficient …

Retrieval-augmented text generation attribution is of great significance for knowledge-
intensive tasks as it can enhance the credibility and verifiability of large language models …