:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Ottem, Andreas
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2509.01514
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems
by: Venkataramani, Vishal, et al.
Published: (2026)

LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generations
by: Zhang, Caiqi, et al.
Published: (2025)

MeMo: Memory as a Model
by: Quek, Ryan Wei Heng, et al.
Published: (2026)

MeTHanol: Modularized Thinking Language Models with Intermediate Layer Thinking, Decoding and Bootstrapping Reasoning
by: Xi, Ningyuan, et al.
Published: (2024)

Modular Techniques for Synthetic Long-Context Data Generation in Language Model Training and Evaluation
by: Subramanian, Seganrasan, et al.
Published: (2025)

Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution
by: Cao, Zouying, et al.
Published: (2025)

The Convergence of Schema-Guided Dialogue Systems and the Model Context Protocol
by: Schlapbach, Andreas
Published: (2026)

When Context Leads but Parametric Memory Follows in Large Language Models
by: Tao, Yufei, et al.
Published: (2024)

HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly
by: Yen, Howard, et al.
Published: (2024)

ReMIND: Orchestrating Modular Large Language Models for Controllable Serendipity A REM-Inspired System Design for Emergent Creative Ideation
by: Sato, Makoto
Published: (2026)

Evaluating Language Model Context Windows: A "Working Memory" Test and Inference-time Correction
by: Dsouza, Amanda, et al.
Published: (2024)

Investigating Context-Faithfulness in Large Language Models: The Roles of Memory Strength and Evidence Style
by: Li, Yuepei, et al.
Published: (2024)

VeRO: An Evaluation Harness for Agents to Optimize Agents
by: Ursekar, Varun, et al.
Published: (2026)

The System Hallucination Scale (SHS): A Minimal yet Effective Human-Centered Instrument for Evaluating Hallucination-Related Behavior in Large Language Models
by: Müller, Heimo, et al.
Published: (2026)

Claim Verification in the Age of Large Language Models: A Survey
by: Dmonte, Alphaeus, et al.
Published: (2024)

G-MemLLM: Gated Latent Memory Augmentation for Long-Context Reasoning in Large Language Models
by: Xu, Xun
Published: (2026)

AI-native Memory 2.0: Second Me
by: Wei, Jiale, et al.
Published: (2025)

VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
by: Ma, Qianli, et al.
Published: (2025)

Me LLaMA: Foundation Large Language Models for Medical Applications
by: Xie, Qianqian, et al.
Published: (2024)

Citekit: A Modular Toolkit for Large Language Model Citation Generation
by: Shen, Jiajun, et al.
Published: (2024)

Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models
by: Bi, Baolong, et al.
Published: (2025)

Language Model Memory and Memory Models for Language
by: Badger, Benjamin L.
Published: (2026)

Variation in Verification: Understanding Verification Dynamics in Large Language Models
by: Zhou, Yefan, et al.
Published: (2025)

HalluciNot: Hallucination Detection Through Context and Common Knowledge Verification
by: Paudel, Bibek, et al.
Published: (2025)

Language Modeling With Factorization Memory
by: Xiong, Lee, et al.
Published: (2025)

Composition of Experts: A Modular Compound AI System Leveraging Large Language Models
by: Jain, Swayambhoo, et al.
Published: (2024)

LPC-SM: Local Predictive Coding and Sparse Memory for Long-Context Language Modeling
by: Xie, Keqin
Published: (2026)

Modular Arithmetic: Language Models Solve Math Digit by Digit
by: Baeumel, Tanja, et al.
Published: (2025)

Introducing MeMo: A Multimodal Dataset for Memory Modelling in Multiparty Conversations
by: Tsfasman, Maria, et al.
Published: (2024)

MemoryPrompt: A Light Wrapper to Improve Context Tracking in Pre-trained Language Models
by: Rakotonirina, Nathanaël Carraz, et al.
Published: (2024)

Pico: A Modular Framework for Hypothesis-Driven Small Language Model Research
by: Martinez, Richard Diehl, et al.
Published: (2025)

Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
by: Cao, Jiaqi, et al.
Published: (2025)

CAVE: Controllable Authorship Verification Explanations
by: Ramnath, Sahana, et al.
Published: (2024)

Adaptive Draft-Verification for Efficient Large Language Model Decoding
by: Liu, Xukun, et al.
Published: (2024)

MOM: Memory-Efficient Offloaded Mini-Sequence Inference for Long Context Language Models
by: Zhang, Junyang, et al.
Published: (2025)

Context-level Language Modeling by Learning Predictive Context Embeddings
by: Dai, Beiya, et al.
Published: (2025)

Cognitive Memory in Large Language Models
by: Shan, Lianlei, et al.
Published: (2025)

Persuade Me if You Can: A Framework for Evaluating Persuasion Effectiveness and Susceptibility Among Large Language Models
by: Bozdag, Nimet Beyza, et al.
Published: (2025)

Do You Trust Me? Cognitive-Affective Signatures of Trustworthiness in Large Language Models
by: Yeo, Gerard, et al.
Published: (2025)

Scalable Multi-Domain Adaptation of Language Models using Modular Experts
by: Schafhalter, Peter, et al.
Published: (2024)