Cover Image

In-context Learning in Presence of Spurious Correlations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Harutyunyan, Hrayr, Darbinyan, Rafayel, Karapetyan, Samvel, Khachatrian, Hrant
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Outdoor Environment Reconstruction with Deep Learning on Radio Propagation Paths
by: Khachatrian, Hrant, et al.
Published: (2024)

ML-based Approaches for Wireless NLOS Localization: Input Representations and Uncertainty Estimation
by: Darbinyan, Rafayel, et al.
Published: (2023)

Mimetic Initialization Helps State Space Models Learn to Recall
by: Trockman, Asher, et al.
Published: (2024)

Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
by: Bae, Sangmin, et al.
Published: (2024)

Fighting Spurious Correlations in Text Classification via a Causal Learning Perspective
by: Zhou, Yuqing, et al.
Published: (2024)

Reasoning in Transformers -- Mitigating Spurious Correlations and Reasoning Shortcuts
by: Enström, Daniel, et al.
Published: (2024)

Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
by: Bae, Sangmin, et al.
Published: (2025)

Fusion of Pervasive RF Data with Spatial Images via Vision Transformers for Enhanced Mapping in Smart Cities
by: Mkrtchyan, Rafayel, et al.
Published: (2025)

Removing Spurious Correlation from Neural Network Interpretations
by: Fotouhi, Milad, et al.
Published: (2024)

When Bias Pretends to Be Truth: How Spurious Correlations Undermine Hallucination Detection in LLMs
by: Wang, Shaowen, et al.
Published: (2025)

Mitigating Spurious Correlations in NLI via LLM-Synthesized Counterfactuals and Dynamic Balanced Sampling
by: Jaimes, Christopher Román
Published: (2025)

Uncovering Memorization Effect in the Presence of Spurious Correlations
by: You, Chenyu, et al.
Published: (2025)

Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations
by: Qiu, GuanWen, et al.
Published: (2024)

A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs
by: Rawat, Ankit Singh, et al.
Published: (2024)

On Hamiltonian bypasses in digraphs and bipartite digraphs
by: Darbinyan, Samvel Kh.
Published: (2025)

Sufficient conditions for a digraph to contain: a pre-Hamiltonian cycle and cycles of lengths 3 and 4
by: Darbinyan, Samvel Kh.
Published: (2025)

A new sufficient condition for a 2-strong digraph to be Hamiltonian
by: Darbinyan, Samvel Kh.
Published: (2023)

On Three Conjectures of Thomassen and the Extremal Digraphs for Two Conjectures of Nash‐Williams
by: Samvel Kh. Darbinyan
Published: (2025)

On the Limitations of Ray-Tracing for Learning-Based RF Tasks in Urban Environments
by: Manukyan, Armen, et al.
Published: (2025)

Real Time Detection and Quantitative Analysis of Spurious Forgetting in Continual Learning
by: Wang, Weiwei
Published: (2025)

Small Molecule Optimization with Large Language Models
by: Guevorguian, Philipp, et al.
Published: (2024)

Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs
by: Yan, Lecheng, et al.
Published: (2026)

Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math Reasoning
by: Yu, Yongcan, et al.
Published: (2026)

Vision Transformers for Efficient Indoor Pathloss Radio Map Prediction
by: Mkrtchyan, Rafayel, et al.
Published: (2024)

Guideline Learning for In-context Information Extraction
by: Pang, Chaoxu, et al.
Published: (2023)

In-context Learning and Gradient Descent Revisited
by: Deutch, Gilad, et al.
Published: (2023)

The Instinctive Bias: Spurious Images lead to Illusion in MLLMs
by: Han, Tianyang, et al.
Published: (2024)

Linking In-context Learning in Transformers to Human Episodic Memory
by: Ji-An, Li, et al.
Published: (2024)

Learning without training: The implicit dynamics of in-context learning
by: Dherin, Benoit, et al.
Published: (2025)

Implicit In-context Learning
by: Li, Zhuowei, et al.
Published: (2024)

SpurLens: Automatic Detection of Spurious Cues in Multimodal LLMs
by: Hosseini, Parsa, et al.
Published: (2025)

Towards Understanding the Relationship between In-context Learning and Compositional Generalization
by: Han, Sungjun, et al.
Published: (2024)

Graph-based Molecular In-context Learning Grounded on Morgan Fingerprints
by: Al-Lawati, Ali, et al.
Published: (2025)

Exploration vs Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward
by: Chen, Peter, et al.
Published: (2025)

GeoCrossBench: Cross-Band Generalization for Remote Sensing
by: Tamazyan, Hakob, et al.
Published: (2025)

Polynomial Regression as a Task for Understanding In-context Learning Through Finetuning and Alignment
by: Wilcoxson, Max, et al.
Published: (2024)

Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective
by: Ghosh, Bishwamittra, et al.
Published: (2026)

UnLearning from Experience to Avoid Spurious Correlations
by: Mitchell, Jeff, et al.
Published: (2024)

The broader spectrum of in-context learning
by: Lampinen, Andrew Kyle, et al.
Published: (2024)

Transformers are Universal In-context Learners
by: Furuya, Takashi, et al.
Published: (2024)