Cover Image

LLM Interpretability with Identifiable Temporal-Instantaneous Representation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Song, Xiangchen, Sun, Jiaqi, Li, Zijian, Zheng, Yujia, Zhang, Kun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Identification of Temporally Causal Representation with Instantaneous Dependence
by: Li, Zijian, et al.
Published: (2024)

Causal Temporal Representation Learning with Nonstationary Sparse Transition
by: Song, Xiangchen, et al.
Published: (2024)

Beyond the Black Box: Identifiable Interpretation and Control in Generative Models via Causal Minimality
by: Kong, Lingjing, et al.
Published: (2025)

Towards Identifiability of Hierarchical Temporal Causal Representation Learning
by: Li, Zijian, et al.
Published: (2025)

Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs
by: Song, Xiangchen, et al.
Published: (2025)

A General Representation-Based Approach to Multi-Source Domain Adaptation
by: Ng, Ignavier, et al.
Published: (2026)

Temporally Disentangled Representation Learning under Unknown Nonstationarity
by: Song, Xiangchen, et al.
Published: (2023)

On the Identifiability of Nonlinear ICA: Sparsity and Beyond
by: Zheng, Yujia, et al.
Published: (2022)

Identifying Selections for Unsupervised Subtask Discovery
by: Qiu, Yiwen, et al.
Published: (2024)

On the Identifiability of Sparse ICA without Assuming Non-Gaussianity
by: Ng, Ignavier, et al.
Published: (2024)

CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
by: Chen, Guangyi, et al.
Published: (2024)

Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models
by: Dong, Xinshuai, et al.
Published: (2025)

Type Information-Assisted Self-Supervised Knowledge Graph Denoising
by: Sun, Jiaqi, et al.
Published: (2025)

Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models
by: Fan, Yewen, et al.
Published: (2024)

Causal Representation Learning from Multiple Distributions: A General Setting
by: Zhang, Kun, et al.
Published: (2024)

Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
by: Li, Zijian, et al.
Published: (2025)

Diverse Dictionary Learning
by: Zheng, Yujia, et al.
Published: (2026)

Nonstationary Time Series Forecasting via Unknown Distribution Adaptation
by: Li, Zijian, et al.
Published: (2024)

From Generalist to Specialist Representation
by: Zheng, Yujia, et al.
Published: (2026)

Partial Identifiability for Domain Adaptation
by: Kong, Lingjing, et al.
Published: (2023)

Identifiable Markov Switching Models with Instantaneous Effects and Exponential Families
by: Hulsman, Roel, et al.
Published: (2026)

Detecting and Identifying Selection Structure in Sequential Data
by: Zheng, Yujia, et al.
Published: (2024)

Causal Representation Learning from Multimodal Biomedical Observations
by: Sun, Yuewen, et al.
Published: (2024)

Thought Communication in Multiagent Collaboration
by: Zheng, Yujia, et al.
Published: (2025)

Nonparametric Identification of Latent Concepts
by: Zheng, Yujia, et al.
Published: (2025)

DT-BEHRT: Disease Trajectory-aware Transformer for Interpretable Patient Representation Learning
by: Li, Deyi, et al.
Published: (2026)

SC3D: Dynamic and Differentiable Causal Discovery for Temporal and Instantaneous Graphs
by: Das, Sourajit, et al.
Published: (2026)

Understanding Catastrophic Interference: On the Identifibility of Latent Representations
by: Li, Yuke, et al.
Published: (2025)

Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning
by: Cai, Ruichu, et al.
Published: (2025)

Does Representation Intervention Really Identify Desired Concepts and Elicit Alignment?
by: Yang, Hongzheng, et al.
Published: (2025)

FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
by: Yao, Yuan, et al.
Published: (2025)

Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning
by: Deng, Jiewen, et al.
Published: (2024)

Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making
by: Feng, Fan, et al.
Published: (2026)

Interpreting and Controlling LLM Reasoning through Integrated Policy Gradient
by: Li, Changming, et al.
Published: (2026)

CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations
by: Chen, Guangyi, et al.
Published: (2025)

InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks
by: Fu, Yonggan, et al.
Published: (2021)

Identifiability Guarantees for Causal Disentanglement from Purely Observational Data
by: Welch, Ryan, et al.
Published: (2024)

Not only where, But when: Temporal Scheduling for RLVR
by: Zhang, Jinghao, et al.
Published: (2026)

Clinically Interpretable Sepsis Early Warning via LLM-Guided Simulation of Temporal Physiological Dynamics
by: Nie, Weizhi, et al.
Published: (2026)

ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting
by: Zheng, Qi, et al.
Published: (2024)