Buchumschlag

Rethinking the Outlier Distribution in Large Language Models: An In-depth Study

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Raman, Rahul, Sharma, Khushi, Zhang, Sai Qian
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Computation and Language Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model
von: Gao, Chao, et al.
Veröffentlicht: (2024)

Systematic Outliers in Large Language Models
von: An, Yongqi, et al.
Veröffentlicht: (2025)

Evaluating the Role of Large Language Models in Legal Practice in India
von: Hemrajani, Rahul
Veröffentlicht: (2025)

Can Large Language Models Discern Evidence for Scientific Hypotheses? Case Studies in the Social Sciences
von: Koneru, Sai, et al.
Veröffentlicht: (2023)

EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD
von: Wu, Bing-Yue, et al.
Veröffentlicht: (2024)

The Labyrinth and the Thread: Rethinking Regularizations in Sequential Knowledge Editing for Large Language Models
von: Wang, Zheng, et al.
Veröffentlicht: (2026)

Layer-Order Inversion: Rethinking Latent Multi-Hop Reasoning in Large Language Models
von: Liu, Xukai, et al.
Veröffentlicht: (2026)

Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
von: Li, Yaxuan, et al.
Veröffentlicht: (2026)

Refract ICL: Rethinking Example Selection in the Era of Million-Token Models
von: Akula, Arjun R., et al.
Veröffentlicht: (2025)

Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models
von: Wu, Taiqiang, et al.
Veröffentlicht: (2024)

Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning
von: Hu, Bokai, et al.
Veröffentlicht: (2024)

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models
von: Park, Jungwoo, et al.
Veröffentlicht: (2025)

Rethinking Interpretability in the Era of Large Language Models
von: Singh, Chandan, et al.
Veröffentlicht: (2024)

Rethinking Toxicity Evaluation in Large Language Models: A Multi-Label Perspective
von: Kou, Zhiqiang, et al.
Veröffentlicht: (2025)

Towards Universal Semantics With Large Language Models
von: Baartmans, Raymond, et al.
Veröffentlicht: (2025)

GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model
von: Yang, Haotong, et al.
Veröffentlicht: (2024)

Rethinking Data Mixing from the Perspective of Large Language Models
von: Xu, Yuanjian, et al.
Veröffentlicht: (2026)

From Symbolic to Natural-Language Relations: Rethinking Knowledge Graph Construction in the Era of Large Language Models
von: Han, Kanyao, et al.
Veröffentlicht: (2026)

GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models
von: Jiang, Pengcheng, et al.
Veröffentlicht: (2024)

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models
von: Tao, Yufei, et al.
Veröffentlicht: (2025)

Benchmarking Distributional Alignment of Large Language Models
von: Meister, Nicole, et al.
Veröffentlicht: (2024)

Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing
von: Koneru, Sai, et al.
Veröffentlicht: (2023)

Pre-training LLMs using human-like development data corpus
von: Bhardwaj, Khushi, et al.
Veröffentlicht: (2023)

Understanding the Dilemma of Unlearning for Large Language Models
von: Zhang, Qingjie, et al.
Veröffentlicht: (2025)

Bengali Text Classification: An Evaluation of Large Language Model Approaches
von: Hoque, Md Mahmudul, et al.
Veröffentlicht: (2026)

Robust Prompt Optimization for Large Language Models Against Distribution Shifts
von: Li, Moxin, et al.
Veröffentlicht: (2023)

An Empirical Study on Prompt Compression for Large Language Models
von: Zhang, Zheng, et al.
Veröffentlicht: (2025)

BiSup: Bidirectional Quantization Error Suppression for Large Language Models
von: Zou, Minghui, et al.
Veröffentlicht: (2024)

Faux Polyglot: A Study on Information Disparity in Multilingual Large Language Models
von: Sharma, Nikhil, et al.
Veröffentlicht: (2024)

Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements
von: Qian, Yushan, et al.
Veröffentlicht: (2023)

ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models
von: Elangovan, Aparna, et al.
Veröffentlicht: (2024)

Knowledge-based Consistency Testing of Large Language Models
von: Rajan, Sai Sathiesh, et al.
Veröffentlicht: (2024)

An In-depth Evaluation of Large Language Models in Sentence Simplification with Error-based Human Assessment
von: Wu, Xuanxin, et al.
Veröffentlicht: (2024)

Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate
von: Xiong, Kai, et al.
Veröffentlicht: (2023)

On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe
von: Xu, Ningyu, et al.
Veröffentlicht: (2024)

Let's Play Across Cultures: A Large Multilingual, Multicultural Benchmark for Assessing Language Models' Understanding of Sports
von: Singh, Punit Kumar, et al.
Veröffentlicht: (2025)

Rethinking the Role of Text Complexity in Language Model Pretraining
von: Velasco, Dan John, et al.
Veröffentlicht: (2025)

CASTILLO: Characterizing Response Length Distributions of Large Language Models
von: Perez-Ramirez, Daniel F., et al.
Veröffentlicht: (2025)

On Adversarial Robustness and Out-of-Distribution Robustness of Large Language Models
von: Yang, April, et al.
Veröffentlicht: (2024)

Disentangling Reasoning and Knowledge in Medical Large Language Models
von: Thapa, Rahul, et al.
Veröffentlicht: (2025)