:: Library Catalog

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Bibliográfalaš dieđut
Váldodahkkit:	Zhang, Qifan, Hong, Xiaobin, Tang, Jianheng, Chen, Nuo, Li, Yuhan, Li, Wenzhong, Tang, Jing, Li, Jia
Materiálatiipa:	Preprint
Almmustuhtton:	2024
Fáttát:	Computation and Language
Liŋkkat:	https://arxiv.org/abs/2410.19084
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!

Geahča maid

GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
Dahkki: Tang, Jianheng, et al.
Almmustuhtton: (2024)

GraphWiz: An Instruction-Following Language Model for Graph Problems
Dahkki: Chen, Nuo, et al.
Almmustuhtton: (2024)

NPG-Muse: Scaling Long Chain-of-Thought Reasoning with NP-Hard Graph Problems
Dahkki: Wang, Yuyao, et al.
Almmustuhtton: (2025)

How does Misinformation Affect Large Language Model Behaviors and Preferences?
Dahkki: Peng, Miao, et al.
Almmustuhtton: (2025)

Improving LLMs' Generalized Reasoning Abilities by Graph Problems
Dahkki: Zhang, Qifan, et al.
Almmustuhtton: (2025)

LoopRPT: Reinforcement Pre-Training for Looped Language Models
Dahkki: Tang, Guo, et al.
Almmustuhtton: (2026)

Exposing Weaknesses of Large Reasoning Models through Graph Algorithm Problems
Dahkki: Zhang, Qifan, et al.
Almmustuhtton: (2026)

Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
Dahkki: Li, Hang, et al.
Almmustuhtton: (2025)

ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline
Dahkki: Xu, Yifan, et al.
Almmustuhtton: (2024)

A Survey of Graph Meets Large Language Model: Progress and Future Directions
Dahkki: Li, Yuhan, et al.
Almmustuhtton: (2023)

MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model
Dahkki: Yang, Zhen, et al.
Almmustuhtton: (2024)

G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
Dahkki: Li, Yuhan, et al.
Almmustuhtton: (2025)

Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners
Dahkki: Peng, Miao, et al.
Almmustuhtton: (2025)

GLBench: A Comprehensive Benchmark for Graph with Large Language Models
Dahkki: Li, Yuhan, et al.
Almmustuhtton: (2024)

Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models
Dahkki: Chen, Sijia, et al.
Almmustuhtton: (2024)

Solving General Natural-Language-Description Optimization Problems with Large Language Models
Dahkki: Zhang, Jihai, et al.
Almmustuhtton: (2024)

CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models
Dahkki: Chen, Yuefei, et al.
Almmustuhtton: (2025)

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
Dahkki: Gao, Jiahui, et al.
Almmustuhtton: (2023)

Machine Mindset: An MBTI Exploration of Large Language Models
Dahkki: Cui, Jiaxi, et al.
Almmustuhtton: (2023)

The Oscars of AI Theater: A Survey on Role-Playing with Language Models
Dahkki: Chen, Nuo, et al.
Almmustuhtton: (2024)

Topic mining based on fine-tuning Sentence-BERT and LDA
Dahkki: Li, Jianheng, et al.
Almmustuhtton: (2025)

Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?
Dahkki: Wen, Zichen, et al.
Almmustuhtton: (2025)

ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training
Dahkki: Han, Feijiang, et al.
Almmustuhtton: (2025)

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
Dahkki: Saha, Swarnadeep, et al.
Almmustuhtton: (2023)

A Single Layer to Explain Them All:Understanding Massive Activations in Large Language Models
Dahkki: Shi, Zeru, et al.
Almmustuhtton: (2026)

Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs
Dahkki: Liang, Xun, et al.
Almmustuhtton: (2024)

Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Dahkki: Besta, Maciej, et al.
Almmustuhtton: (2023)

ControlMath: Controllable Data Generation Promotes Math Generalist Models
Dahkki: Chen, Nuo, et al.
Almmustuhtton: (2024)

Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion
Dahkki: Liu, Yang, et al.
Almmustuhtton: (2024)

Improving Math Problem Solving in Large Language Models Through Categorization and Strategy Tailoring
Dahkki: Akella, Amogh
Almmustuhtton: (2024)

Cross-Modal Knowledge Distillation for Speech Large Language Models
Dahkki: Wang, Enzhi, et al.
Almmustuhtton: (2025)

WeatherSyn: An Instruction Tuning MLLM For Weather Forecasting Report Generation
Dahkki: Zheng, Zinan, et al.
Almmustuhtton: (2026)

KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph
Dahkki: Guo, Tiezheng, et al.
Almmustuhtton: (2023)

Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models
Dahkki: Pang, Xinyu, et al.
Almmustuhtton: (2024)

Efficient Multilingual ASR Finetuning via LoRA Language Experts
Dahkki: Li, Jiahong, et al.
Almmustuhtton: (2025)

BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation
Dahkki: Jia, Chengxing, et al.
Almmustuhtton: (2024)

Can Language Models Solve Graph Problems in Natural Language?
Dahkki: Wang, Heng, et al.
Almmustuhtton: (2023)

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?
Dahkki: Yang, Zhe, et al.
Almmustuhtton: (2024)

Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
Dahkki: Chen, Yuyan, et al.
Almmustuhtton: (2024)

Mathematical Formalized Problem Solving and Theorem Proving in Different Fields in Lean 4
Dahkki: Tang, Xichen
Almmustuhtton: (2024)