Cover Image

InternLM-Law: An Open Source Chinese Legal Large Language Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fei, Zhiwei, Zhang, Songyang, Shen, Xiaoyu, Zhu, Dawei, Wang, Xiao, Cao, Maosong, Zhou, Fengzhe, Li, Yining, Zhang, Wenwei, Lin, Dahua, Chen, Kai, Ge, Jidong
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning
by: Ying, Huaiyuan, et al.
Published: (2024)

InternLM2 Technical Report
by: Cai, Zheng, et al.
Published: (2024)

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model
by: Dong, Xiaoyi, et al.
Published: (2024)

InternLM2.5-StepProver: Advancing Automated Theorem Proving via Critic-Guided Search
by: Wu, Zijian, et al.
Published: (2024)

InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model
by: Zang, Yuhang, et al.
Published: (2025)

InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output
by: Zhang, Pan, et al.
Published: (2024)

InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
by: Dong, Xiaoyi, et al.
Published: (2024)

InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions
by: Zhang, Pan, et al.
Published: (2024)

MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark
by: Liu, Hongwei, et al.
Published: (2024)

CIBench: Evaluating Your LLMs with a Code Interpreter Plugin
by: Zhang, Chuyu, et al.
Published: (2024)

Rethinking Verification for LLM Code Generation: From Generation to Testing
by: Ma, Zihan, et al.
Published: (2025)

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
by: Wang, Weiyun, et al.
Published: (2025)

CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards
by: Zhang, Taolin, et al.
Published: (2025)

From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models
by: Li, Rongjie, et al.
Published: (2024)

MultiJustice: A Chinese Dataset for Multi-Party, Multi-Charge Legal Prediction
by: Wang, Xiao, et al.
Published: (2025)

Coding Triangle: How Does Large Language Model Understand Code?
by: Zhang, Taolin, et al.
Published: (2025)

The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner
by: Hua, Zhouqi, et al.
Published: (2025)

Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning
by: Zhao, Haiteng, et al.
Published: (2025)

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
by: Zhu, Jinguo, et al.
Published: (2025)

CompassJudger-1: All-in-one Judge Model Helps Model Evaluation and Evolution
by: Cao, Maosong, et al.
Published: (2024)

Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking Reasoning
by: Shen, Junhao, et al.
Published: (2025)

Are Your LLMs Capable of Stable Reasoning?
by: Liu, Junnan, et al.
Published: (2024)

Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks
by: Wang, Chonghua, et al.
Published: (2024)

InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling
by: Li, Peiji, et al.
Published: (2025)

Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs
by: Gu, Yuzhe, et al.
Published: (2025)

Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement
by: Cao, Maosong, et al.
Published: (2025)

OpenCompass: A Universal Evaluation Platform for Large Language Models
by: Cao, Maosong, et al.
Published: (2026)

Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law
by: Ge, Qiming, et al.
Published: (2025)

PILOT: Legal Case Outcome Prediction with Case Law
by: Cao, Lang, et al.
Published: (2024)

ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs
by: Zhuo, Jingming, et al.
Published: (2024)

T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step
by: Chen, Zehui, et al.
Published: (2023)

PoliLegalLM: A Technical Report on a Large Language Model for Political and Legal Affairs
by: Huang, Yuting, et al.
Published: (2026)

ANAH: Analytical Annotation of Hallucinations in Large Language Models
by: Ji, Ziwei, et al.
Published: (2024)

ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
by: Gu, Yuzhe, et al.
Published: (2024)

InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression
by: Lu, Dongchen, et al.
Published: (2025)

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model
by: Zhou, Zhi, et al.
Published: (2024)

Judicial intelligent assistant system: Extracting events from Chinese divorce cases to detect disputes for the judge
by: Yuan Zhang, et al.
Published: (2024)

CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward
by: Liu, Shudong, et al.
Published: (2025)

Intern-S1: A Scientific Multimodal Foundation Model
by: Bai, Lei, et al.
Published: (2025)

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
by: Lyu, Chengqi, et al.
Published: (2025)