1 citations · 1 across the 4 of their papers we have counts for
4 papers
Self-Adaptive Reconstruction with Contrastive Learning for Unsupervised Sentence Embeddings
Junlong Liu, Xichen Shang, Huawen Feng +2
Unsupervised sentence embeddings task aims to convert sentences to semantic vector representations. Most previous works directly use the sentence representations derived from pretr…
Balancing the Causal Effects in Class-Incremental Learning
Junhao Zheng, Ruiyan Wang, Chongzhi Zhang +2
Class-Incremental Learning (CIL) is a practical and challenging problem for achieving general artificial intelligence. Recently, Pre-Trained Models (PTMs) have led to breakthroughs…
Let's reward step by step: Step-Level reward model as the Navigators for Reasoning
Qianli Ma, Haotian Zhou, Tingkai Liu +4
Recent years have seen considerable advancements in multi-step reasoning with Large Language Models (LLMs). The previous studies have elucidated the merits of integrating feedback…
Dynamic Point Fields
Sergey Prokudin, Qianli Ma, Maxime Raafat +2
Recent years have witnessed significant progress in the field of neural surface reconstruction. While the extensive focus was put on volumetric and implicit approaches, a number of…