2 citations · 3 across the 11 of their papers we have counts for
12 papers
Structures Facilitate Retrieve, Rerank, and Generate
Yeqin Zhang, Haomin Fu, Xujie Zhang +1
Document-grounded dialogue systems (DGDS) utilize knowledge from external documents to answer domain-specific user questions. Existing solutions typically divide documents into ind…
TrigReason: Trigger-Based Collaboration between Small and Large Reasoning Models
Yi Zhao, Yajuan Peng, Cam-Tu Nguyen +4
Large Reasoning Models (LRMs) achieve strong performance on complex tasks through extended chains of thought but suffer from high inference latency due to autoregressive reasoning.…
LifeBench: A Benchmark for Long-Horizon Multi-Source Memory
Zihao Cheng, Weixin Wang, Yu Zhao +15
Long-term memory is fundamental for personalized agents capable of accumulating knowledge, reasoning over user experiences, and adapting across time. However, existing memory bench…
LLM-based Embeddings: Attention Values Encode Sentence Semantics Better Than Hidden States
Yeqin Zhang, Yunfei Wang, Jiaxuan Chen +3
Sentence representations are foundational to many Natural Language Processing (NLP) applications. While recent methods leverage Large Language Models (LLMs) to derive sentence repr…
DSC2025 -- ViHallu Challenge: Detecting Hallucination in Vietnamese LLMs
Anh Thi-Hoang Nguyen, Khanh Quoc Tran, Tin Van Huynh +3
The reliability of large language models (LLMs) in production environments remains significantly constrained by their propensity to generate hallucinations -- fluent, plausible-sou…
Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation
Yeqin Zhang, Yizheng Zhao, Chen Hu +4
Text representation plays a critical role in tasks like clustering, retrieval, and other downstream applications. With the emergence of large language models (LLMs), there is incre…