:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jin, Mingyu, Mei, Kai, Xu, Wujiang, Sun, Mingjie, Tang, Ruixiang, Du, Mengnan, Liu, Zirui, Zhang, Yongfeng
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2502.01563
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SAGE: An Agentic Explainer Framework for Interpreting SAE Features in Language Models
by: Han, Jiaojiao, et al.
Published: (2025)

SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models
by: He, Zirui, et al.
Published: (2025)

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities
by: Tang, Hua, et al.
Published: (2024)

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction
by: Shu, Dong, et al.
Published: (2024)

OmniRouter: Budget and Performance Controllable Multi-LLM Routing
by: Mei, Kai, et al.
Published: (2025)

MoralBench: Moral Evaluation of LLMs
by: Ji, Jianchao, et al.
Published: (2024)

A-MEM: Agentic Memory for LLM Agents
by: Xu, Wujiang, et al.
Published: (2025)

AIOS: LLM Agent Operating System
by: Mei, Kai, et al.
Published: (2024)

DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models
by: Li, Zihao, et al.
Published: (2025)

From Commands to Prompts: LLM-based Semantic File System for AIOS
by: Shi, Zeru, et al.
Published: (2024)

What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents
by: Xue, Zhaoqian, et al.
Published: (2024)

Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
by: Jin, Mingyu, et al.
Published: (2024)

Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs
by: Jin, Mingyu, et al.
Published: (2026)

TrustAgent: Towards Safe and Trustworthy LLM-based Agents
by: Hua, Wenyue, et al.
Published: (2024)

The Impact of Reasoning Step Length on Large Language Models
by: Jin, Mingyu, et al.
Published: (2024)

Pooling and Semantic Shift: The Fundamental Challenges in Long Text Embedding and Retrieval
by: Gao, Hang, et al.
Published: (2026)

iAgent: LLM Agent as a Shield between User and Recommender Systems
by: Xu, Wujiang, et al.
Published: (2025)

Disentangling Memory and Reasoning Ability in Large Language Models
by: Jin, Mingyu, et al.
Published: (2024)

EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning
by: Xu, Wujiang, et al.
Published: (2025)

A Single Layer to Explain Them All:Understanding Massive Activations in Large Language Models
by: Shi, Zeru, et al.
Published: (2026)

FinAnchor: Aligned Multi-Model Representations for Financial Prediction
by: He, Zirui, et al.
Published: (2026)

Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension
by: Fang, Yanbo, et al.
Published: (2025)

Trust or Abstain? A Self-Aware RAG Approach
by: Zhu, Xi, et al.
Published: (2026)

SAE-FiRE: Enhancing Earnings Surprise Predictions Through Sparse Autoencoder Feature Selection
by: Zhang, Huopu, et al.
Published: (2025)

When Reward Hacking Rebounds: Understanding and Mitigating It with Representation-Level Signals
by: Wu, Rui, et al.
Published: (2026)

AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents
by: Xu, Shuyuan, et al.
Published: (2024)

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System
by: Yu, Qinkai, et al.
Published: (2024)

Rep2Text: Decoding Full Text from a Single LLM Token Representation
by: Zhao, Haiyan, et al.
Published: (2025)

LawLLM: Law Large Language Model for the US Legal System
by: Shu, Dong, et al.
Published: (2024)

Data-centric NLP Backdoor Defense from the Lens of Memorization
by: Wang, Zhenting, et al.
Published: (2024)

Massive Activations in Large Language Models
by: Sun, Mingjie, et al.
Published: (2024)

Understanding the Physics of Key-Value Cache Compression for LLMs through Attention Dynamics
by: Ananthanarayanan, Samhruth, et al.
Published: (2026)

MixSD: Mixed Contextual Self-Distillation for Knowledge Injection
by: Liu, Jiarui, et al.
Published: (2026)

Context Copying Modulation: The Role of Entropy Neurons in Managing Parametric and Contextual Knowledge Conflicts
by: Tighidet, Zineddine, et al.
Published: (2025)

Universal Activation Verbalizer: A Unified Framework for Cross-Model Activation Explanation
by: Zhao, Haiyan, et al.
Published: (2026)

Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages
by: Li, Zihao, et al.
Published: (2024)

Cerebrum (AIOS SDK): A Platform for Agent Development, Deployment, Distribution, and Discovery
by: Rama, Balaji, et al.
Published: (2025)

Towards Generalizable Implicit In-Context Learning with Attention Routing
by: Li, Jiaqian, et al.
Published: (2025)

Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models
by: Zeng, Qingcheng, et al.
Published: (2024)

SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
by: Xu, Wujiang, et al.
Published: (2024)