23 citations · 45 across the 15 of their papers we have counts for
6 papers · 1 filter
Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL
Jiaxuan Gao, Wei Fu, Minyang Xie +5
Recent advancements in LLM-based agents have demonstrated remarkable capabilities in handling complex, knowledge-intensive tasks by integrating external tools. Among diverse choice…
How Far Are We from Optimal Reasoning Efficiency?
Jiaxuan Gao, Shu Yan, Qixin Tan +6
Large Reasoning Models (LRMs) demonstrate remarkable problem-solving capabilities through extended Chain-of-Thought (CoT) reasoning but often produce excessively verbose and redund…
Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study
Shusheng Xu, Wei Fu, Jiaxuan Gao +6
Reinforcement Learning from Human Feedback (RLHF) is currently the most widely used method to align large language models (LLMs) with human preferences. Existing RLHF methods can b…
Native Chinese Reader: A Dataset Towards Native-Level Chinese Machine Reading Comprehension
Shusheng Xu, Yichen Liu, Xiaoyu Yi +3
We present Native Chinese Reader (NCR), a new machine reading comprehension (MRC) dataset with particularly long articles in both modern and classical Chinese. NCR is collected fro…
Sequence Level Contrastive Learning for Text Summarization
Shusheng Xu, Xingxing Zhang, Yi Wu +1
Contrastive learning models have achieved great success in unsupervised visual representation learning, which maximize the similarities between feature representations of different…
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
Shusheng Xu, Xingxing Zhang, Yi Wu +2
Unsupervised extractive document summarization aims to select important sentences from a document without using labeled summaries during training. Existing methods are mostly graph…