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20232026
most citedBeyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models

19 citations · 22 across the 24 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

cs.SD2024

VHASR: A Multimodal Speech Recognition System With Vision Hotwords

Jiliang Hu, Zuchao Li, Ping Wang +3

The image-based multimodal automatic speech recognition (ASR) model enhances speech recognition performance by incorporating audio-related image. However, some works suggest that i…

cs.CL2024

A Coin Has Two Sides: A Novel Detector-Corrector Framework for Chinese Spelling Correction

Xiangke Zeng, Zuchao Li, Lefei Zhang +3

Chinese Spelling Correction (CSC) stands as a foundational Natural Language Processing (NLP) task, which primarily focuses on the correction of erroneous characters in Chinese text…

cs.CL2024

Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models

Luohe Shi, Yao Yao, Zuchao Li +2

Large language models (LLMs) have rapidly advanced and demonstrated impressive capabilities. In-Context Learning (ICL) and Parameter-Efficient Fine-Tuning (PEFT) are currently two…

cs.AI2024

Hypergraph based Understanding for Document Semantic Entity Recognition

Qiwei Li, Zuchao Li, Ping Wang +2

Semantic entity recognition is an important task in the field of visually-rich document understanding. It distinguishes the semantic types of text by analyzing the position relatio…

cs.CL2024

Venturing into Uncharted Waters: The Navigation Compass from Transformer to Mamba

Yuchen Zou, Yineng Chen, Zuchao Li +2

Transformer, a deep neural network architecture, has long dominated the field of natural language processing and beyond. Nevertheless, the recent introduction of Mamba challenges i…

cs.SD2024★ 1 cited

The Music Maestro or The Musically Challenged, A Massive Music Evaluation Benchmark for Large Language Models

Jiajia Li, Lu Yang, Mingni Tang +4

Benchmark plays a pivotal role in assessing the advancements of large language models (LLMs). While numerous benchmarks have been proposed to evaluate LLMs' capabilities, there is…

cs.CL2024

GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM Deployment

Yao Yao, Zuchao Li, Hai Zhao

The burgeoning size of Large Language Models (LLMs) has led to enhanced capabilities in generating responses, albeit at the expense of increased inference times and elevated resour…

cs.CL2024

SirLLM: Streaming Infinite Retentive LLM

Yao Yao, Zuchao Li, Hai Zhao

As Large Language Models (LLMs) become increasingly prevalent in various domains, their ability to process inputs of any length and maintain a degree of memory becomes essential. H…

cs.CV2024★ 1 cited

Multi-modal Auto-regressive Modeling via Visual Words

Tianshuo Peng, Zuchao Li, Lefei Zhang +3

Large Language Models (LLMs), benefiting from the auto-regressive modelling approach performed on massive unannotated texts corpora, demonstrates powerful perceptual and reasoning…