2 citations · 7 across the 8 of their papers we have counts for
8 papers
Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM Reasoning
Ziqing Zhuang, Linhai Zhang, Jiasheng Si +2
Large language models (LLMs) have demonstrated strong reasoning capabilities, and as existing approaches for enhancing LLM reasoning continue to mature, increasing attention has sh…
CHECKWHY: Causal Fact Verification via Argument Structure
Jiasheng Si, Yibo Zhao, Yingjie Zhu +3
With the growing complexity of fact verification tasks, the concern with "thoughtful" reasoning capabilities is increasing. However, recent fact verification benchmarks mainly focu…
CroPrompt: Cross-task Interactive Prompting for Zero-shot Spoken Language Understanding
Libo Qin, Fuxuan Wei, Qiguang Chen +5
Slot filling and intent detection are two highly correlated tasks in spoken language understanding (SLU). Recent SLU research attempts to explore zero-shot prompting techniques in…
EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification
Yingjie Zhu, Jiasheng Si, Yibo Zhao +3
Automatic multi-hop fact verification task has gained significant attention in recent years. Despite impressive results, these well-designed models perform poorly on out-of-domain…
Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources
Jiasheng Si, Yingjie Zhu, Xingyu Shi +2
Given a controversial target such as ``nuclear energy'', argument mining aims to identify the argumentative text from heterogeneous sources. Current approaches focus on exploring b…
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification
Jiasheng Si, Yingjie Zhu, Deyu Zhou
The success of deep learning models on multi-hop fact verification has prompted researchers to understand the behavior behind their veracity. One possible way is erasure search: ob…
Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning
Jiasheng Si, Yingjie Zhu, Deyu Zhou
The opaqueness of the multi-hop fact verification model imposes imperative requirements for explainability. One feasible way is to extract rationales, a subset of inputs, where the…
Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification
Jiasheng Si, Deyu Zhou, Tongzhe Li +2
Fact verification is a challenging task that requires simultaneously reasoning and aggregating over multiple retrieved pieces of evidence to evaluate the truthfulness of a claim. E…