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20242026
most citedConfigurable Foundation Models: Building LLMs from a Modular Perspective

4 citations · 5 across the 8 of their papers we have counts for

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cs.CL2025

SurveyBench: Can LLM(-Agents) Write Academic Surveys that Align with Reader Needs?

Zhaojun Sun, Xuzhou Zhu, Xuanhe Zhou +6

Academic survey writing, which distills vast literature into a coherent and insightful narrative, remains a labor-intensive and intellectually demanding task. While recent approach…

cs.CL2025

LLMMapReduce-V3: Enabling Interactive In-Depth Survey Generation through a MCP-Driven Hierarchically Modular Agent System

Yu Chao, Siyu Lin, xiaorong wang +7

We introduce LLM x MapReduce-V3, a hierarchically modular agent system designed for long-form survey generation. Building on the prior work, LLM x MapReduce-V2, this version incorp…

cs.CL2025

Monocle: Hybrid Local-Global In-Context Evaluation for Long-Text Generation with Uncertainty-Based Active Learning

Xiaorong Wang, Ting Yang, Zhu Zhang +5

Assessing the quality of long-form, model-generated text is challenging, even with advanced LLM-as-a-Judge methods, due to performance degradation as input length increases. To add…

cs.CL2025

A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings

Xiaoang Xu, Shuo Wang, Xu Han +6

Large Reasoning Models (LRMs) achieve superior performance by extending the thought length. However, a lengthy thinking trajectory leads to reduced efficiency. Most of the existing…

cs.CL2025

From Unaligned to Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora

Yingli Shen, Wen Lai, Shuo Wang +4

Continued pretraining and instruction tuning on large-scale multilingual data have proven to be effective in scaling large language models (LLMs) to low-resource languages. However…

cs.CL2025

LLMMapReduce-V2: Entropy-Driven Convolutional Test-Time Scaling for Generating Long-Form Articles from Extremely Long Resources

Haoyu Wang, Yujia Fu, Zhu Zhang +8

Long-form generation is crucial for a wide range of practical applications, typically categorized into short-to-long and long-to-long generation. While short-to-long generations ha…