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20212026
most citedLLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

119 citations · 379 across the 62 of their papers we have counts for

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10 papers · 1 filter

cs.CL2025

OPV: Outcome-based Process Verifier for Efficient Long Chain-of-Thought Verification

Zijian Wu, Lingkai Kong, Wenwei Zhang +12

Large language models (LLMs) have achieved significant progress in solving complex reasoning tasks by Reinforcement Learning with Verifiable Rewards (RLVR). This advancement is als…

cs.CL2025

AICC: Parse HTML Finer, Make Models Better -- A 7.3T AI-Ready Corpus Built by a Model-Based HTML Parser

Ren Ma, Jiantao Qiu, Chao Xu +26

While web data quality is crucial for large language models, most curation efforts focus on filtering and deduplication,treating HTML-to-text extraction as a fixed pre-processing s…

cs.CL2025

ATLAS: A High-Difficulty, Multidisciplinary Benchmark for Frontier Scientific Reasoning

Hongwei Liu, Junnan Liu, Shudong Liu +33

The rapid advancement of Large Language Models (LLMs) has led to performance saturation on many established benchmarks, questioning their ability to distinguish frontier models. Co…

cs.CL2025

Dripper: Token-Efficient Main HTML Extraction with a Lightweight LM

Mengjie Liu, Jiahui Peng, Wenchang Ning +14

High-quality main content extraction from web pages is a critical prerequisite for constructing large-scale training corpora. While traditional heuristic extractors are efficient,…

cs.CL2025★ 1 cited

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers

Ming Hu, Chenglong Ma, Wei Li +117

Scientific Large Language Models (Sci-LLMs) are transforming how knowledge is represented, integrated, and applied in scientific research, yet their progress is shaped by the compl…

cs.CL2025

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages

Jia Yu, Fei Yuan, Rui Min +20

This paper introduces the open-source dataset WanJuanSiLu, designed to provide high-quality training corpora for low-resource languages, thereby advancing the research and developm…

cs.CL2024★ 29 cited

InternLM2 Technical Report

Zheng Cai, Maosong Cao, Haojiong Chen +97

The evolution of Large Language Models (LLMs) like ChatGPT and GPT-4 has sparked discussions on the advent of Artificial General Intelligence (AGI). However, replicating such advan…

cs.CL2024

WanJuan-CC: A Safe and High-Quality Open-sourced English Webtext Dataset

Jiantao Qiu, Haijun Lv, Zhenjiang Jin +23

This paper presents WanJuan-CC, a safe and high-quality open-sourced English webtext dataset derived from Common Crawl data. The study addresses the challenges of constructing larg…

cs.CL2023

MiChao-HuaFen 1.0: A Specialized Pre-trained Corpus Dataset for Domain-specific Large Models

Yidong Liu, FuKai Shang, Fang Wang +5

With the advancement of deep learning technologies, general-purpose large models such as GPT-4 have demonstrated exceptional capabilities across various domains. Nevertheless, ther…

cs.CL2023★ 8 cited

WanJuan: A Comprehensive Multimodal Dataset for Advancing English and Chinese Large Models

Conghui He, Zhenjiang Jin, Chao Xu +6

The rise in popularity of ChatGPT and GPT-4 has significantly accelerated the development of large models, leading to the creation of numerous impressive large language models(LLMs…