:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Yuan, Han, Zhao, Yue, Zhang, Li, Luo, Wuqiong, Ma, Zheng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Machine Learning
Accesso online:	https://arxiv.org/abs/2509.21791
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Causality for Large Language Models
di: Wu, Anpeng, et al.
Pubblicazione: (2024)

SLOT: Structuring the Output of Large Language Models
di: Wang, Darren Yow-Bang, et al.
Pubblicazione: (2025)

Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference
di: Zhao, Stephen, et al.
Pubblicazione: (2025)

Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
di: Song, Yuxuan, et al.
Pubblicazione: (2025)

Beyond Language: Format-Agnostic Reasoning Subspaces in Large Language Models
di: Yuan, Aojie, et al.
Pubblicazione: (2026)

Mitigating Hallucinations in Large Language Models via Causal Reasoning
di: Li, Yuangang, et al.
Pubblicazione: (2025)

ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning
di: Gao, Shangqian, et al.
Pubblicazione: (2025)

Causal Inference for Human-Language Model Collaboration
di: Zhang, Bohan, et al.
Pubblicazione: (2024)

Quantifying Uncertainty in Natural Language Explanations of Large Language Models for Question Answering
di: Li, Yangyi, et al.
Pubblicazione: (2025)

Leveraging Large Language Models for Automated Causal Loop Diagram Generation: Enhancing System Dynamics Modeling through Curated Prompting Techniques
di: Liu, Ning-Yuan Georgia, et al.
Pubblicazione: (2025)

AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
di: Ebrahimi, Sana, et al.
Pubblicazione: (2024)

Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling
di: Luo, Xianzhen, et al.
Pubblicazione: (2024)

Hansel: Output Length Controlling Framework for Large Language Models
di: Song, Seoha, et al.
Pubblicazione: (2024)

Ovis: Structural Embedding Alignment for Multimodal Large Language Model
di: Lu, Shiyin, et al.
Pubblicazione: (2024)

Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models
di: Yuan, Yu, et al.
Pubblicazione: (2024)

Adaptive Pruning for Large Language Models with Structural Importance Awareness
di: Zheng, Haotian, et al.
Pubblicazione: (2024)

SVIP: Towards Verifiable Inference of Open-source Large Language Models
di: Sun, Yifan, et al.
Pubblicazione: (2024)

Experimental Design for Active Transductive Inference in Large Language Models
di: Mukherjee, Subhojyoti, et al.
Pubblicazione: (2024)

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?
di: Chi, Haoang, et al.
Pubblicazione: (2025)

An Evaluation on Large Language Model Outputs: Discourse and Memorization
di: de Wynter, Adrian, et al.
Pubblicazione: (2023)

Structured Agent Distillation for Large Language Model
di: Liu, Jun, et al.
Pubblicazione: (2025)

T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
di: Hou, Zhenyu, et al.
Pubblicazione: (2025)

AutoPyVerifier: Learning Compact Executable Verifiers for Large Language Model Outputs
di: Pezeshkpour, Pouya, et al.
Pubblicazione: (2026)

Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training
di: Wang, Yixuan, et al.
Pubblicazione: (2024)

User Inference Attacks on Large Language Models
di: Kandpal, Nikhil, et al.
Pubblicazione: (2023)

Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats
di: Zhao, Pengxiang, et al.
Pubblicazione: (2026)

Large Language Models as Interpolated and Extrapolated Event Predictors
di: Zhang, Libo, et al.
Pubblicazione: (2024)

Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees
di: Chen, Sijia, et al.
Pubblicazione: (2024)

Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal Graphs
di: Bethany, Mazal, et al.
Pubblicazione: (2024)

LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation
di: Zhang, Jiaxing, et al.
Pubblicazione: (2024)

Distilling Large Language Models for Text-Attributed Graph Learning
di: Pan, Bo, et al.
Pubblicazione: (2024)

E-Sparse: Boosting the Large Language Model Inference through Entropy-based N:M Sparsity
di: Li, Yun, et al.
Pubblicazione: (2023)

Unraveling Arithmetic in Large Language Models: The Role of Algebraic Structures
di: Chang, Fu-Chieh, et al.
Pubblicazione: (2024)

Continual Learning for Large Language Models: A Survey
di: Wu, Tongtong, et al.
Pubblicazione: (2024)

Optimizing Language Models for Human Preferences is a Causal Inference Problem
di: Lin, Victoria, et al.
Pubblicazione: (2024)

Prompting Fairness: Integrating Causality to Debias Large Language Models
di: Li, Jingling, et al.
Pubblicazione: (2024)

Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation
di: Xu, Zerui, et al.
Pubblicazione: (2024)

The Extrapolation Cliff in On-Policy Distillation of Near-Deterministic Structured Outputs
di: Li, Xin, et al.
Pubblicazione: (2026)

Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models
di: Ren, Jie, et al.
Pubblicazione: (2024)

FlashDecoding++: Faster Large Language Model Inference on GPUs
di: Hong, Ke, et al.
Pubblicazione: (2023)