:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Qin, Zhenlin, Wang, Leizhen, Ling, Yancheng, Pereira, Francisco Camara, Ma, Zhenliang
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2503.16553
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BoostTaxo: Zero-Shot Taxonomy Induction via Boosting-Style Agentic Reasoning and Constraint-Aware Calibration
by: Ling, Yancheng, et al.
Published: (2026)

SemaPop: Semantic-Persona Conditioned and Controllable Population Synthesis
by: Qin, Zhenlin, et al.
Published: (2026)

Group Effect Enhanced Generative Adversarial Imitation Learning for Individual Travel Behavior Modeling under Incentives
by: Wu, Yuanyuan, et al.
Published: (2025)

Chat2SPaT: A Large Language Model Based Tool for Automating Traffic Signal Control Plan Management
by: Wang, Yue, et al.
Published: (2025)

Assessing Open-Source Large Language Models on Argumentation Mining Subtasks
by: Abkenar, Mohammad Yeghaneh, et al.
Published: (2024)

Domain-Adapted Pre-trained Language Models for Implicit Information Extraction in Crash Narratives
by: Wang, Xixi, et al.
Published: (2025)

Leveraging Open-Source Large Language Models for Native Language Identification
by: Ng, Yee Man, et al.
Published: (2024)

ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?
by: Chen, Hailin, et al.
Published: (2023)

Exploring Causal Effect of Social Bias on Faithfulness Hallucinations in Large Language Models
by: Zhang, Zhenliang, et al.
Published: (2025)

Large Language Models for Predictive Analysis: How Far Are They?
by: Chen, Qin, et al.
Published: (2025)

OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
by: Wang, Jun, et al.
Published: (2024)

OpenEthics: A Comprehensive Ethical Evaluation of Open-Source Generative Large Language Models
by: Özen, Yıldırım, et al.
Published: (2025)

Efficient Temporal Tokenization for Mobility Prediction with Large Language Models
by: He, Haoyu, et al.
Published: (2025)

AuditWen:An Open-Source Large Language Model for Audit
by: Huang, Jiajia, et al.
Published: (2024)

InternLM-Law: An Open Source Chinese Legal Large Language Model
by: Fei, Zhiwei, et al.
Published: (2024)

An Open Source Data Contamination Report for Large Language Models
by: Li, Yucheng, et al.
Published: (2023)

OpenThaiGPT 1.5: A Thai-Centric Open Source Large Language Model
by: Yuenyong, Sumeth, et al.
Published: (2024)

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
by: Huang, Lei, et al.
Published: (2023)

LIMP: Large Language Model Enhanced Intent-aware Mobility Prediction
by: Li, Songwei, et al.
Published: (2024)

The Open Source Advantage in Large Language Models (LLMs)
by: Manchanda, Jiya, et al.
Published: (2024)

Compute-Accuracy Pareto Frontiers for Open-Source Reasoning Large Language Models
by: Prucs, Ákos, et al.
Published: (2025)

Open-SQL Framework: Enhancing Text-to-SQL on Open-source Large Language Models
by: Chen, Xiaojun, et al.
Published: (2024)

SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages
by: Zhang, Wenxuan, et al.
Published: (2024)

Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs
by: Li, Luchang, et al.
Published: (2024)

Satisfiability Solving with LLMs: A Matched-Pair Evaluation of Reasoning Capability
by: Zhang, Leizhen, et al.
Published: (2026)

Classifying Cancer Stage with Open-Source Clinical Large Language Models
by: Chang, Chia-Hsuan, et al.
Published: (2024)

FinGPT: Open-Source Financial Large Language Models
by: Yang, Hongyang, et al.
Published: (2023)

TULIP: Adapting Open-Source Large Language Models for Underrepresented Languages and Specialized Financial Tasks
by: Demirtaş, İrem, et al.
Published: (2025)

LOLA -- An Open-Source Massively Multilingual Large Language Model
by: Srivastava, Nikit, et al.
Published: (2024)

Domain-Specific Translation with Open-Source Large Language Models: Resource-Oriented Analysis
by: Wassie, Aman Kassahun, et al.
Published: (2024)

Assessing the Performance of Chinese Open Source Large Language Models in Information Extraction Tasks
by: Cai, Yida, et al.
Published: (2024)

TinyLlama: An Open-Source Small Language Model
by: Zhang, Peiyuan, et al.
Published: (2024)

Reinforcement Learning-based Sequential Route Recommendation for System-Optimal Traffic Assignment
by: Wang, Leizhen, et al.
Published: (2025)

LR^2Bench: Evaluating Long-chain Reflective Reasoning Capabilities of Large Language Models via Constraint Satisfaction Problems
by: Chen, Jianghao, et al.
Published: (2025)

1.4 Million Open-Source Distilled Reasoning Dataset to Empower Large Language Model Training
by: Zhao, Han, et al.
Published: (2025)

MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings
by: Khaokaew, Yonchanok, et al.
Published: (2023)

Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models
by: Islam, Shayekh Bin, et al.
Published: (2024)

Benchmarking Open-Source Large Language Models on Healthcare Text Classification Tasks
by: Guo, Yuting, et al.
Published: (2025)

Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian
by: Nikolich, Aleksandr, et al.
Published: (2024)

Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification
by: Cruickshank, Iain J., et al.
Published: (2023)