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20212025
most citedSLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

10 citations · 22 across the 12 of their papers we have counts for

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Showing cs.CLShow all

9 papers · 1 filter

cs.CL2025

REAL: Reading Out Transformer Activations for Precise Localization in Language Model Steering

Li-Ming Zhan, Bo Liu, Chengqiang Xie +2

Inference-time steering aims to alter a large language model's (LLM's) responses without changing its parameters, but a central challenge is identifying the internal modules that m…

cs.CL2024★ 1 cited

Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detection

Bo Liu, Liming Zhan, Yujie Feng +5

In the realm of task-oriented dialogue systems, a robust intent detection mechanism must effectively handle malformed utterances encountered in real-world scenarios. This study pre…

cs.CL2024

TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation

Yujie Feng, Xu Chu, Yongxin Xu +3

A practical dialogue system requires the capacity for ongoing skill acquisition and adaptability to new tasks while preserving prior knowledge. However, current methods for Continu…

cs.CL2024

Continual Dialogue State Tracking via Reason-of-Select Distillation

Yujie Feng, Bo Liu, Xiaoyu Dong +4

An ideal dialogue system requires continuous skill acquisition and adaptation to new tasks while retaining prior knowledge. Dialogue State Tracking (DST), vital in these systems, o…

cs.CL2024

KIF: Knowledge Identification and Fusion for Language Model Continual Learning

Yujie Feng, Xu Chu, Yongxin Xu +4

Language model continual learning (CL) has recently attracted significant interest for its ability to adapt large language models (LLMs) to dynamic real-world scenarios without ret…

cs.CL2024

VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution Detection

Li-Ming Zhan, Bo Liu, Xiao-Ming Wu

Out-of-distribution (OOD) detection plays a crucial role in ensuring the safety and reliability of deep neural networks in various applications. While there has been a growing focu…