Cover Image

Multi-Scale Manifold Alignment for Interpreting Large Language Models: A Unified Information-Geometric Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yukun, Dong, Qi
Format:	Preprint
Published:	2025
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

Latent Trajectory Dynamics in Large Language Models: A Manifold Evolution Framework with Empirical Validation
by: Zhang, Yukun, et al.
Published: (2025)

Hierarchical Alignment: Surgical Fine-Tuning via Functional Layer Specialization in Large Language Models
by: Zhang, Yukun, et al.
Published: (2025)

Emergent Hierarchical Structure in Large Language Models: An Information-Theoretic Framework for Multi-Scale Representation
by: Zhang, Yukin, et al.
Published: (2025)

EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models
by: Zhou, Weikang, et al.
Published: (2024)

ARCANE: A Multi-Agent Framework for Interpretable and Configurable Alignment
by: Masters, Charlie, et al.
Published: (2025)

UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models
by: Qi, Liu, et al.
Published: (2024)

Benchmarking Multi-National Value Alignment for Large Language Models
by: Shi, Weijie, et al.
Published: (2025)

Information Flow Routes: Automatically Interpreting Language Models at Scale
by: Ferrando, Javier, et al.
Published: (2024)

Multi-objective Large Language Model Alignment with Hierarchical Experts
by: Li, Zhuo, et al.
Published: (2025)

Entity Alignment with Noisy Annotations from Large Language Models
by: Chen, Shengyuan, et al.
Published: (2024)

Unveiling LLM Mechanisms Through Neural ODEs and Control Theory
by: Zhang, Yukun, et al.
Published: (2024)

Comparing Human and Large Language Model Interpretation of Implicit Information
by: De Santis, Antonio, et al.
Published: (2026)

Unified Lexical Representation for Interpretable Visual-Language Alignment
by: Li, Yifan, et al.
Published: (2024)

A Unified Biomedical Named Entity Recognition Framework with Large Language Models
by: Lv, Tengxiao, et al.
Published: (2025)

Thinking Before Constraining: A Unified Decoding Framework for Large Language Models
by: Nguyen, Ngoc Trinh Hung, et al.
Published: (2026)

Representations as Language: An Information-Theoretic Framework for Interpretability
by: Conklin, Henry, et al.
Published: (2024)

ChemATP: A Training-Free Chemical Reasoning Framework for Large Language Models
by: Zhang, Mingxu, et al.
Published: (2025)

The Confidence Manifold: Geometric Structure of Correctness Representations in Language Models
by: Cho, Seonglae, et al.
Published: (2026)

EvalMORAAL: Interpretable Chain-of-Thought and LLM-as-Judge Evaluation for Moral Alignment in Large Language Models
by: Mohammadi, Hadi, et al.
Published: (2025)

An Information-Theoretic Framework for Robust Large Language Model Editing
by: Chen, Qizhou, et al.
Published: (2025)

Activation Scaling for Steering and Interpreting Language Models
by: Stoehr, Niklas, et al.
Published: (2024)

Reasoning in Large Language Models: A Geometric Perspective
by: Cosentino, Romain, et al.
Published: (2024)

Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models
by: Chen, Hao, et al.
Published: (2026)

ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language Models
by: Chen, Hao, et al.
Published: (2025)

Preference Orchestrator: Prompt-Aware Multi-Objective Alignment for Large Language Models
by: Liu, Biao, et al.
Published: (2025)

BayLing 2: A Multilingual Large Language Model with Efficient Language Alignment
by: Zhang, Shaolei, et al.
Published: (2024)

ChatUIE: Exploring Chat-based Unified Information Extraction using Large Language Models
by: Xu, Jun, et al.
Published: (2024)

UniMem: Towards a Unified View of Long-Context Large Language Models
by: Fang, Junjie, et al.
Published: (2024)

KELPS: A Framework for Verified Multi-Language Autoformalization via Semantic-Syntactic Alignment
by: Zhang, Jiyao, et al.
Published: (2025)

THRD: A Training-Free Multi-Turn Defense Framework for Jailbreak Attacks on Large Language Models
by: Ma, Zhiqing, et al.
Published: (2026)

UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Models
by: Li, Zhuoyang, et al.
Published: (2024)

A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning
by: Peng, Cheng, et al.
Published: (2025)

To Trust or Not to Trust? Enhancing Large Language Models' Situated Faithfulness to External Contexts
by: Huang, Yukun, et al.
Published: (2024)

MALM: A Multi-Information Adapter for Large Language Models to Mitigate Hallucination
by: Jia, Ao, et al.
Published: (2025)

CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis
by: Zhen, Hao, et al.
Published: (2025)

Fundamental Limitations of Alignment in Large Language Models
by: Wolf, Yotam, et al.
Published: (2023)

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

Fake News Detection and Manipulation Reasoning via Large Vision-Language Models
by: Jin, Ruihan, et al.
Published: (2024)

A Multi-Layered Large Language Model Framework for Disease Prediction
by: Mohamed, Malak, et al.
Published: (2025)

Interpretable Differential Diagnosis with Dual-Inference Large Language Models
by: Zhou, Shuang, et al.
Published: (2024)