conftrace_

causal intervention

110 papers

Explore in graph

Also known as

CI

Co-occurring keywords

causal inference (1630) spurious correlation (279) structural causal model (184) large language model (13587) language model (4599) bias mitigation (500) out-of-distribution generalization (408) mechanistic interpretability (133) counterfactual reasoning (230) causal graph (140)

Papers

MagicBench: Diagnosing Visual Agency Loss and Semantic Dependency in Multimodal LLMs ACL 2026
I2CD: An Invertible Causal Framework for Compositional Zero-Shot Learning via Disentangle-Compose-Disentangle AAAI 2026
Finding the Translation Switch: Discovering and Exploiting the Task-Initiation Features in LLMs AAAI 2026
A Mechanistic Account of Attention Sinks in GPT-2: One Circuit, Broader Implications for Mitigation ACL 2026
INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval AAAI 2026
Boosting ASR Robustness via Test-Time Reinforcement Learning with Audio-Text Semantic Rewards AAAI 2026
GCIB: Causal Intervention Guided Graph Information Bottleneck Framework AAAI 2026
When Truth Is Overridden: Uncovering the Internal Origins of Sycophancy in Large Language Models AAAI 2026
Sparse Feature Coactivation Reveals Causal Semantic Modules in Large Language Models ACL 2026
ARCHITECT: Uncertainty-Aware Dynamic Tool Learning via Causal Intervention for Open-World Agents ACL 2026
DUD: Decoupled Update Dynamics for Reliable Uncertainty Quantification in Large Language Models ACL 2026
How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability Study ACL 2026
Causally-Grounded Dual-Path Attention Intervention for Object Hallucination Mitigation in LVLMs AAAI 2026
Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention AAAI 2026
Feature Drift: How Fine-Tuning Repurposes Representations in LLMs EACL 2026
Language Models Encode the Value of Numbers Linearly COLING 2025
Faithful Inference Chains Extraction for Fact Verification over Multi-view Heterogeneous Graph with Causal Intervention COLING 2025
Mechanistic Interpretability of Emotion Inference in Large Language Models ACL 2025
Cross-modal Causal Relation Alignment for Video Question Grounding CVPR 2025
Modular Arithmetic: Language Models Solve Math Digit by Digit IJCNLP 2025
Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting IJCAI 2025
BabyLM’s First Constructions: Causal interventions provide a signal of learning EMNLP 2025
Enhancing Relation Extraction via Supervised Rationale Verification and Feedback AAAI 2025
Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework AAAI 2025
Exploring Model Editing for LLM-based Aspect-Based Sentiment Classification AAAI 2025