paper.dinq.meAI 与前沿科学顶会 · 学术新星雷达
登录 DINQ
返回新星榜
FC

Fengxiang Cheng

AAAI 2026×2ICLR 2026×2ACL 2026推理强化学习与后训练可解释性智能体与工具评测与基准
新星分新星
93
一作贡献100
核心/参与17
方向广度16
合作网络12
3 一作 · 5 篇 · AAAI 2026 / ICLR 2026 / ACL 2026

获取完整研究档案

首次获取该候选人的完整档案及 StartLux 评估共 20 积分;每位用户单独解锁,之后查看免费。主动刷新 20 积分。

联系方式

实时查找电子邮箱,费用不超过20积分;未找到邮箱不扣费。

2026 顶会论文

5
一作ACL 2026Findings· Findings of ACL

Text Embedding as Treatment: A Meta Causal Approach for Robust Sentiment Classification

Fengxiang Cheng · Chuan Zhou · Xiang Li · Haoxuan Li · Wen-li Wang · Jinkun Chen · Mingming Gong · Kun Zhang

摘要

Sentiment classification is a crucial task in natural language processing (NLP). To mitigate the spurious correlation, the causal word identification method estimates the impact of treatment words on sentence sentiment and removes those with low treatment effects. However, previous works regard t...

数据与预训练可解释性理论与学习动力学OpenReview 项目页
一作AAAI 2026Poster· Artificial Intelligence

Empowering LLMs with Symbolic Representation and Reasoning

Fengxiang Cheng

推理可解释性OpenReview
一作AAAI 2026Poster· Artificial Intelligence

Fine-Tuning Sample Order Matters in Propositional Logical Question-Answering (Student Abstract)

Fengxiang Cheng · Chuan Zhou · Fenrong Liu · Robert van Rooij

推理强化学习与后训练长上下文与架构OpenReview

常见合作者