Cover Image

Language Modeling with Editable External Knowledge

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Belinda Z., Liu, Emmy, Ross, Alexis, Zeitoun, Abbas, Neubig, Graham, Andreas, Jacob
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Incomplete Loop: Instruction Inference, Instruction Following, and In-context Learning in Language Models
by: Liu, Emmy, et al.
Published: (2024)

Divergences between Language Models and Human Brains
by: Zhou, Yuchen, et al.
Published: (2023)

(How) Do Language Models Track State?
by: Li, Belinda Z., et al.
Published: (2025)

Training Language Models to Explain Their Own Computations
by: Li, Belinda Z., et al.
Published: (2025)

Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent Debate
by: Chern, Steffi, et al.
Published: (2024)

Toward In-Context Teaching: Adapting Examples to Students' Misconceptions
by: Ross, Alexis, et al.
Published: (2024)

Effective Strategies for Asynchronous Software Engineering Agents
by: Geng, Jiayi, et al.
Published: (2026)

Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions
by: Liu, Emmy, et al.
Published: (2025)

Overtrained Language Models Are Harder to Fine-Tune
by: Springer, Jacob Mitchell, et al.
Published: (2025)

What Are Tools Anyway? A Survey from the Language Model Perspective
by: Wang, Zhiruo, et al.
Published: (2024)

The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
by: Zhang, Shuo, et al.
Published: (2023)

Evaluating the External and Parametric Knowledge Fusion of Large Language Models
by: Zhang, Hao, et al.
Published: (2024)

Accumulating Context Changes the Beliefs of Language Models
by: Geng, Jiayi, et al.
Published: (2025)

Instruction-tuned Language Models are Better Knowledge Learners
by: Jiang, Zhengbao, et al.
Published: (2024)

MetaKE: Meta-Learning for Knowledge Editing Toward a Better Accuracy-Editability Trade-off
by: Liu, Shuxin, et al.
Published: (2026)

Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks
by: Wu, Zhaofeng, et al.
Published: (2023)

Midtraining Bridges Pretraining and Posttraining Distributions
by: Liu, Emmy, et al.
Published: (2025)

Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundaries
by: Wu, Jiageng, et al.
Published: (2023)

Alignment for Honesty
by: Yang, Yuqing, et al.
Published: (2023)

Inspecting and Editing Knowledge Representations in Language Models
by: Hernandez, Evan, et al.
Published: (2023)

Training Versatile Coding Agents in Synthetic Environments
by: Zhu, Yiqi, et al.
Published: (2025)

Gradually Excavating External Knowledge for Implicit Complex Question Answering
by: Liu, Chang, et al.
Published: (2026)

Internal Knowledge Without External Expression: Probing the Generalization Boundary of a Classical Chinese Language Model
by: Chen, Jiuting, et al.
Published: (2026)

SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning
by: Zhao, Chenyang, et al.
Published: (2024)

Pre-training Limited Memory Language Models with Internal and External Knowledge
by: Zhao, Linxi, et al.
Published: (2025)

Reporting and Analysing the Environmental Impact of Language Models on the Example of Commonsense Question Answering with External Knowledge
by: Usmanova, Aida, et al.
Published: (2024)

Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
by: Bertsch, Amanda, et al.
Published: (2025)

Identifying Multiple Personalities in Large Language Models with External Evaluation
by: Song, Xiaoyang, et al.
Published: (2024)

VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?
by: Liu, Junpeng, et al.
Published: (2024)

Conversational Disease Diagnosis via External Planner-Controlled Large Language Models
by: Sun, Zhoujian, et al.
Published: (2024)

Better Instruction-Following Through Minimum Bayes Risk
by: Wu, Ian, et al.
Published: (2024)

Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge
by: Lin, Yuanze, et al.
Published: (2024)

Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent
by: Huang, Ziyang, et al.
Published: (2025)

ZINA: Multimodal Fine-grained Hallucination Detection and Editing
by: Wada, Yuiga, et al.
Published: (2025)

From Retrieval to Generation: Unifying External and Parametric Knowledge for Medical Question Answering
by: Li, Lei, et al.
Published: (2025)

Diversifying Question Generation over Knowledge Base via External Natural Questions
by: Guo, Shasha, et al.
Published: (2023)

PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck
by: Pham, Thang M., et al.
Published: (2024)

LFD: Layer Fused Decoding to Exploit External Knowledge in Retrieval-Augmented Generation
by: Sun, Yang, et al.
Published: (2025)

Identifying Knowledge Editing Types in Large Language Models
by: Li, Xiaopeng, et al.
Published: (2024)

Large Language Models for Knowledge Graph Embedding: A Survey
by: Liu, Bingchen, et al.
Published: (2025)