activity
20242026
most citedInternLM2 Technical Report

29 citations · 43 across the 29 of their papers we have counts for

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Showing cs.CLShow all

7 papers · 1 filter

cs.CL2026

GraphForge: Training Working Agents with Graph-Anchored Workspace Synthesis

Qisheng Su, Hanchen Wang, Guanru Zhu +11

Working agents need to read diverse files, coordinate tools, and produce deliverables. Training such agents requires tasks built on many real files with verifiable results, but few…

cs.CL2026

ACC: Compiling Agent Trajectories for Long-Context Training

Qisheng Su, Zhen Fang, Shiting Huang +8

Recent development of agents has renewed demand for long-context reasoning capacity of LLMs. However, training LLMs for this capacity requires costly long-document curation or heur…

cs.CL2026

Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models

Shun Zou, Yong Wang, Zehui Chen +4

Diffusion Large Language Models (dLLMs) have recently become a promising alternative to autoregressive large language models (ARMs). Semi-autoregressive (Semi-AR) decoding is widel…

cs.CL2025

VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning

Qiuchen Wang, Ruixue Ding, Yu Zeng +6

Effectively retrieving, reasoning and understanding visually rich information remains a challenge for RAG methods. Traditional text-based methods cannot handle visual-related infor…

cs.CL2024

FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data

Haoran Sun, Renren Jin, Shaoyang Xu +10

Large language models (LLMs) have demonstrated prowess in a wide range of tasks. However, many LLMs exhibit significant performance discrepancies between high- and low-resource lan…

cs.CL2024★ 2 cited

MindSearch: Mimicking Human Minds Elicits Deep AI Searcher

Zehui Chen, Kuikun Liu, Qiuchen Wang +4

Information seeking and integration is a complex cognitive task that consumes enormous time and effort. Inspired by the remarkable progress of Large Language Models, recent works a…

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…