Image de couverture de livre

Probing Causality Manipulation of Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Chenyang, Tong, Haibo, Zhang, Bin, Zhang, Dongyu
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Lightweight Multi Aspect Controlled Text Generation Solution For Large Language Models
par: Zhang, Chenyang, et autres
Publié: (2024)

Correct after Answer: Enhancing Multi-Span Question Answering with Post-Processing Method
par: Lin, Jiayi, et autres
Publié: (2024)

Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation
par: Zhuang, Jun, et autres
Publié: (2025)

Take its Essence, Discard its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect
par: Lu, Junyu, et autres
Publié: (2024)

Multi-Agent Causal Discovery Using Large Language Models
par: Le, Hao Duong, et autres
Publié: (2024)

On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe
par: Xu, Ningyu, et autres
Publié: (2024)

Probing the Difficulty Perception Mechanism of Large Language Models
par: Lee, Sunbowen, et autres
Publié: (2025)

Self-Attention Limits Working Memory Capacity of Transformer-Based Models
par: Gong, Dongyu, et autres
Publié: (2024)

Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought
par: Li, Bowen, et autres
Publié: (2026)

A Novel Approach to Eliminating Hallucinations in Large Language Model-Assisted Causal Discovery
par: Sng, Grace, et autres
Publié: (2024)

Causality for Large Language Models
par: Wu, Anpeng, et autres
Publié: (2024)

Fake News Detection and Manipulation Reasoning via Large Vision-Language Models
par: Jin, Ruihan, et autres
Publié: (2024)

Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning
par: Zhao, Jun, et autres
Publié: (2024)

Latent Causal Probing: A Formal Perspective on Probing with Causal Models of Data
par: Jin, Charles, et autres
Publié: (2024)

KALE: Enhancing Knowledge Manipulation in Large Language Models via Knowledge-aware Learning
par: Lv, Qitan, et autres
Publié: (2026)

Reasoning Can Hurt the Inductive Abilities of Large Language Models
par: Jin, Haibo, et autres
Publié: (2025)

From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic Horizons
par: Ma, Xiangyu, et autres
Publié: (2026)

Large Language Models and Causal Inference in Collaboration: A Survey
par: Liu, Xiaoyu, et autres
Publié: (2024)

Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models
par: Nguyen, Vy, et autres
Publié: (2025)

Large Language Model enabled Mathematical Modeling
par: Zhang, Guoyun
Publié: (2025)

Defending Large Language Models Against Jailbreak Attacks via In-Decoding Safety-Awareness Probing
par: Zhao, Yinzhi, et autres
Publié: (2026)

Probing Neural Topology of Large Language Models
par: Zheng, Yu, et autres
Publié: (2025)

Causal Agent based on Large Language Model
par: Han, Kairong, et autres
Publié: (2024)

ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
par: Ni, Jingwei, et autres
Publié: (2025)

Attention-Aligned Reasoning for Large Language Models
par: Zhang, Hongxiang, et autres
Publié: (2025)

The Real, the Better: Aligning Large Language Models with Online Human Behaviors
par: Jiang, Guanying, et autres
Publié: (2024)

Unveiling and Manipulating Prompt Influence in Large Language Models
par: Feng, Zijian, et autres
Publié: (2024)

Prompting Fairness: Integrating Causality to Debias Large Language Models
par: Li, Jingling, et autres
Publié: (2024)

ARS: Automatic Routing Solver with Large Language Models
par: Li, Kai, et autres
Publié: (2025)

Probing the Robustness of Theory of Mind in Large Language Models
par: Nickel, Christian, et autres
Publié: (2024)

Probing Language Models for Pre-training Data Detection
par: Liu, Zhenhua, et autres
Publié: (2024)

Large Language Models for Constrained-Based Causal Discovery
par: Cohrs, Kai-Hendrik, et autres
Publié: (2024)

Causal Inference with Large Language Model: A Survey
par: Ma, Jing
Publié: (2024)

Route-and-Reason: Scaling Large Language Model Reasoning with Reinforced Model Router
par: Shao, Chenyang, et autres
Publié: (2025)

LangVAE and LangSpace: Building and Probing for Language Model VAEs
par: Carvalho, Danilo S., et autres
Publié: (2025)

Measuring Copyright Risks of Large Language Model via Partial Information Probing
par: Zhao, Weijie, et autres
Publié: (2024)

Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
par: Lv, Qitan, et autres
Publié: (2024)

Meta-aware Learning in text-to-SQL Large Language Model
par: Zhang, Wenda
Publié: (2025)

BiMark: Unbiased Multilayer Watermarking for Large Language Models
par: Feng, Xiaoyan, et autres
Publié: (2025)

KDFlow: A User-Friendly and Efficient Knowledge Distillation Framework for Large Language Models
par: Zhang, Songming, et autres
Publié: (2026)