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20232025
most citedChain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

9 citations · 23 across the 16 of their papers we have counts for

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Showing 2024 · cs.CLShow all

5 papers · 2 filters

cs.CL2024

OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization

Hongliang He, Wenlin Yao, Kaixin Ma +5

The rapid development of large language and multimodal models has sparked significant interest in using proprietary models, such as GPT-4o, to develop autonomous agents capable of…

cs.CL2024★ 1 cited

DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems

Anni Zou, Wenhao Yu, Hongming Zhang +5

Recently, there has been a growing interest among large language model (LLM) developers in LLM-based document reading systems, which enable users to upload their own documents and…

cs.CL2024★ 1 cited

Abstraction-of-Thought Makes Language Models Better Reasoners

Ruixin Hong, Hongming Zhang, Xiaoman Pan +2

Abstract reasoning, the ability to reason from the abstract essence of a problem, serves as a key to generalization in human reasoning. However, eliciting language models to perfor…

cs.CL2024

Conceptual and Unbiased Reasoning in Language Models

Ben Zhou, Hongming Zhang, Sihao Chen +5

Conceptual reasoning, the ability to reason in abstract and high-level perspectives, is key to generalization in human cognition. However, limited study has been done on large lang…

cs.CL2024★ 5 cited

WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models

Hongliang He, Wenlin Yao, Kaixin Ma +5

The rapid advancement of large language models (LLMs) has led to a new era marked by the development of autonomous applications in real-world scenarios, which drives innovation in…