Saved in:
| Main Authors: | Dong, Beidi, Lee, Jin R., Zhu, Ziwei, Srinivasan, Balassubramanian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.16749 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Online Training of Large Language Models: Learn while chatting
by: Liang, Juhao, et al.
Published: (2024)
by: Liang, Juhao, et al.
Published: (2024)
Efficient Streaming Language Models with Attention Sinks
by: Xiao, Guangxuan, et al.
Published: (2023)
by: Xiao, Guangxuan, et al.
Published: (2023)
HeCiX: Integrating Knowledge Graphs and Large Language Models for Biomedical Research
by: Kulkarni, Prerana Sanjay, et al.
Published: (2024)
by: Kulkarni, Prerana Sanjay, et al.
Published: (2024)
Knowledge Graph-Enhanced Large Language Models via Path Selection
by: Liu, Haochen, et al.
Published: (2024)
by: Liu, Haochen, et al.
Published: (2024)
Theme-Explanation Structure for Table Summarization using Large Language Models: A Case Study on Korean Tabular Data
by: Kwack, TaeYoon, et al.
Published: (2025)
by: Kwack, TaeYoon, et al.
Published: (2025)
Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation
by: Dong, Harry, et al.
Published: (2024)
by: Dong, Harry, et al.
Published: (2024)
Learn To be Efficient: Build Structured Sparsity in Large Language Models
by: Zheng, Haizhong, et al.
Published: (2024)
by: Zheng, Haizhong, et al.
Published: (2024)
Large Language Models Vote: Prompting for Rare Disease Identification
by: Oniani, David, et al.
Published: (2023)
by: Oniani, David, et al.
Published: (2023)
Natural Language Counterfactual Explanations for Graphs Using Large Language Models
by: Giorgi, Flavio, et al.
Published: (2024)
by: Giorgi, Flavio, et al.
Published: (2024)
Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition
by: Kim, Jiyeon, et al.
Published: (2024)
by: Kim, Jiyeon, et al.
Published: (2024)
Delusions of Large Language Models
by: Xu, Hongshen, et al.
Published: (2025)
by: Xu, Hongshen, et al.
Published: (2025)
LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction
by: Wang, Ziwei, et al.
Published: (2025)
by: Wang, Ziwei, et al.
Published: (2025)
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models
by: Yadav, Vikas, et al.
Published: (2024)
by: Yadav, Vikas, et al.
Published: (2024)
LANTERN: Scalable Distillation of Large Language Models for Job-Person Fit and Explanation
by: Fu, Zhoutong, et al.
Published: (2025)
by: Fu, Zhoutong, et al.
Published: (2025)
ELAD: Explanation-Guided Large Language Models Active Distillation
by: Zhang, Yifei, et al.
Published: (2024)
by: Zhang, Yifei, et al.
Published: (2024)
Knowledge Bases in Support of Large Language Models for Processing Web News
by: Zhang, Yihe, et al.
Published: (2024)
by: Zhang, Yihe, et al.
Published: (2024)
Local Explanations and Self-Explanations for Assessing Faithfulness in black-box LLMs
by: Fragkathoulas, Christos, et al.
Published: (2024)
by: Fragkathoulas, Christos, et al.
Published: (2024)
A Perspective on Large Language Models, Intelligent Machines, and Knowledge Acquisition
by: Cherkassky, Vladimir, et al.
Published: (2024)
by: Cherkassky, Vladimir, et al.
Published: (2024)
Knowledge Editing for Large Language Models: A Survey
by: Wang, Song, et al.
Published: (2023)
by: Wang, Song, et al.
Published: (2023)
Rate, Explain and Cite (REC): Enhanced Explanation and Attribution in Automatic Evaluation by Large Language Models
by: Hsu, Aliyah R., et al.
Published: (2024)
by: Hsu, Aliyah R., et al.
Published: (2024)
An Empirical Study of the Role of Incompleteness and Ambiguity in Interactions with Large Language Models
by: Naik, Riya, et al.
Published: (2025)
by: Naik, Riya, et al.
Published: (2025)
Assessing the Creativity of Large Language Models: Testing, Limits, and New Frontiers
by: Schapiro, Samuel, et al.
Published: (2026)
by: Schapiro, Samuel, et al.
Published: (2026)
Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Models
by: Kim, Yeeun, et al.
Published: (2024)
by: Kim, Yeeun, et al.
Published: (2024)
Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation
by: Liu, Jingyu, et al.
Published: (2025)
by: Liu, Jingyu, et al.
Published: (2025)
Benchmarking the Pedagogical Knowledge of Large Language Models
by: Lelièvre, Maxime, et al.
Published: (2025)
by: Lelièvre, Maxime, et al.
Published: (2025)
Multi-Level Explanations for Generative Language Models
by: Paes, Lucas Monteiro, et al.
Published: (2024)
by: Paes, Lucas Monteiro, et al.
Published: (2024)
Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models
by: Sakib, Fardin Ahsan, et al.
Published: (2025)
by: Sakib, Fardin Ahsan, et al.
Published: (2025)
Assessing and Understanding Creativity in Large Language Models
by: Zhao, Yunpu, et al.
Published: (2024)
by: Zhao, Yunpu, et al.
Published: (2024)
Assessing Political Bias in Large Language Models
by: Rettenberger, Luca, et al.
Published: (2024)
by: Rettenberger, Luca, et al.
Published: (2024)
Research Trends for the Interplay between Large Language Models and Knowledge Graphs
by: Khorashadizadeh, Hanieh, et al.
Published: (2024)
by: Khorashadizadeh, Hanieh, et al.
Published: (2024)
Knowledge Synthesis of Photosynthesis Research Using a Large Language Model
by: Yoon, Seungri, et al.
Published: (2025)
by: Yoon, Seungri, et al.
Published: (2025)
Target-driven Attack for Large Language Models
by: Zhang, Chong, et al.
Published: (2024)
by: Zhang, Chong, et al.
Published: (2024)
Metamorphic Testing for Fairness Evaluation in Large Language Models: Identifying Intersectional Bias in LLaMA and GPT
by: Reddy, Harishwar, et al.
Published: (2025)
by: Reddy, Harishwar, et al.
Published: (2025)
Can Large Language Models Create New Knowledge for Spatial Reasoning Tasks?
by: Greatrix, Thomas, et al.
Published: (2024)
by: Greatrix, Thomas, et al.
Published: (2024)
MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models
by: Zuo, Kaiwen, et al.
Published: (2024)
by: Zuo, Kaiwen, et al.
Published: (2024)
Cross-Examiner: Evaluating Consistency of Large Language Model-Generated Explanations
by: Villa, Danielle, et al.
Published: (2025)
by: Villa, Danielle, et al.
Published: (2025)
Can Large Language Models Derive New Knowledge? A Dynamic Benchmark for Biological Knowledge Discovery
by: Yang, Chaoqun, et al.
Published: (2026)
by: Yang, Chaoqun, et al.
Published: (2026)
Scalable LLM Reasoning Acceleration with Low-rank Distillation
by: Dong, Harry, et al.
Published: (2025)
by: Dong, Harry, et al.
Published: (2025)
Language-Agnostic Suicidal Risk Detection Using Large Language Models
by: Kim, June-Woo, et al.
Published: (2025)
by: Kim, June-Woo, et al.
Published: (2025)
KIF: Knowledge Identification and Fusion for Language Model Continual Learning
by: Feng, Yujie, et al.
Published: (2024)
by: Feng, Yujie, et al.
Published: (2024)
Similar Items
-
Online Training of Large Language Models: Learn while chatting
by: Liang, Juhao, et al.
Published: (2024) -
Efficient Streaming Language Models with Attention Sinks
by: Xiao, Guangxuan, et al.
Published: (2023) -
HeCiX: Integrating Knowledge Graphs and Large Language Models for Biomedical Research
by: Kulkarni, Prerana Sanjay, et al.
Published: (2024) -
Knowledge Graph-Enhanced Large Language Models via Path Selection
by: Liu, Haochen, et al.
Published: (2024) -
Theme-Explanation Structure for Table Summarization using Large Language Models: A Case Study on Korean Tabular Data
by: Kwack, TaeYoon, et al.
Published: (2025)