activity
20172026
most citedHouse Price Prediction Using LSTM

21 citations · 30 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2026

Lychee-Reranker: Fast but Not Late Interaction for Compressed Document Reranking

Xinping Zhao, Jiaxin Xu, Ziqi Dai +10

As retrieval systems scale, effective and efficient reranking becomes increasingly important. However, most existing encoder- and decoder-based rerankers jointly process every quer…

cs.CL2026

DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence

DeepSeek-AI, Anyi Xu, Bangcai Lin +315

We present a preview version of DeepSeek-V4 series, including two strong Mixture-of-Experts (MoE) language models -- DeepSeek-V4-Pro with 1.6T parameters (49B activated) and DeepSe…

cs.CL2026

LMEB: Long-horizon Memory Embedding Benchmark

Xinping Zhao, Xinshuo Hu, Jiaxin Xu +9

Embedding models are increasingly used as retrievers in memory-augmented systems, but are typically evaluated on traditional passage retrieval benchmarks. It remains unclear whethe…

cs.CL2025★ 8 cited

DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

DeepSeek-AI, Aixin Liu, Aoxue Mei +260

We introduce DeepSeek-V3.2, a model that harmonizes high computational efficiency with superior reasoning and agent performance. The key technical breakthroughs of DeepSeek-V3.2 ar…

cs.LG2025★ 1 cited

From Abstract to Actionable: Pairwise Shapley Values for Explainable AI

Jiaxin Xu, Hung Chau, Angela Burden

Explainable AI (XAI) is critical for ensuring transparency, accountability, and trust in machine learning systems as black-box models are increasingly deployed within high-stakes d…

cs.CL2024

Benchmarking Complex Instruction-Following with Multiple Constraints Composition

Bosi Wen, Pei Ke, Xiaotao Gu +11

Instruction following is one of the fundamental capabilities of large language models (LLMs). As the ability of LLMs is constantly improving, they have been increasingly applied to…

cs.CV2019

Literature Review: Human Segmentation with Static Camera

Jiaxin Xu, Rui Wang, Vaibhav Rakheja

Our research topic is Human segmentation with static camera. This topic can be divided into three sub-tasks, which are object detection, instance identification and segmentation. T…

cs.LG2017★ 21 cited

House Price Prediction Using LSTM

Xiaochen Chen, Lai Wei, Jiaxin Xu

In this paper, we use the house price data ranging from January 2004 to October 2016 to predict the average house price of November and December in 2016 for each district in Beijin…