output
20072026
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2026 · cs.CLShow all

5 papers · 2 filters

cs.CL2026

Neo-Classic: A Benchmark for Evaluating Linguistic-Aesthetic Reasoning in Classical Chinese Poetry

Han Zhang, Zihan Gu, Zhiyuan Wang +5

While Large Language Models (LLMs) achieve high accuracy on established Classical Chinese Poetry benchmarks, it remains challenging to distinguish transferable Linguistic-Aesthetic…

cs.CL2026

Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completion

Jiawei Sheng, Taoyu Su, Xixun Lin +2

Multi-domain knowledge graph completion (MKGC) aims to improve missing triple prediction in a target KG by transferring knowledge from other support KGs. Existing methods typically…

cs.CL2026

CheckRLM: Effective Knowledge-Thought Coherence Checking in Retrieval-Augmented Reasoning

Dingling Xu, Ruobing Wang, Qingfei Zhao +8

Reasoning Language Models (RLMs) have significantly improved performance on complex tasks by extending the reasoning chain. However, these chains are prone to containing factual er…

cs.CL2026

Unlocking the Power of Large Language Models for Multi-table Entity Matching

Yingkai Tang, Taoyu Su, Wenyuan Zhang +2

Multi-table entity matching (MEM) addresses the limitations of dual-table approaches by enabling simultaneous identification of equivalent entities across multiple data sources wit…

cs.CL2026

Improving Reasoning Capabilities in Small Models through Mixture-of-Layers Distillation with Stepwise Attention on Key Information

Yao Chen, Jiawei Sheng, Wenyuan Zhang +1

The significant computational demands of large language models have increased interest in distilling reasoning abilities into smaller models via Chain-of-Thought (CoT) distillation…