In-Context Learning through the Bayesian Prism
Fuente:
arXiv
Saved in:
| Main Authors: | Panwar, Madhur, Ahuja, Kabir, Goyal, Navin |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers
by: Ahuja, Kabir, et al.
Published: (2024)
by: Ahuja, Kabir, et al.
Published: (2024)
InversionView: A General-Purpose Method for Reading Information from Neural Activations
by: Huang, Xinting, et al.
Published: (2024)
by: Huang, Xinting, et al.
Published: (2024)
DeCAL Tokenwise Compression
by: Panwar, Sameer
Published: (2025)
by: Panwar, Sameer
Published: (2025)
Teaching Transformers Causal Reasoning through Axiomatic Training
by: Vashishtha, Aniket, et al.
Published: (2024)
by: Vashishtha, Aniket, et al.
Published: (2024)
Context-Parametric Inversion: Why Instruction Finetuning Can Worsen Context Reliance
by: Goyal, Sachin, et al.
Published: (2024)
by: Goyal, Sachin, et al.
Published: (2024)
Unveiling Simplicities of Attention: Adaptive Long-Context Head Identification
by: Donhauser, Konstantin, et al.
Published: (2025)
by: Donhauser, Konstantin, et al.
Published: (2025)
Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs
by: Kumar, Somnath, et al.
Published: (2024)
by: Kumar, Somnath, et al.
Published: (2024)
Reliability Under Randomness: An Empirical Analysis of Sparse and Dense Language Models Across Decoding Temperatures
by: Grover, Kabir
Published: (2026)
by: Grover, Kabir
Published: (2026)
On Provable Length and Compositional Generalization
by: Ahuja, Kartik, et al.
Published: (2024)
by: Ahuja, Kartik, et al.
Published: (2024)
Mitigating Copy Bias in In-Context Learning through Neuron Pruning
by: Ali, Ameen, et al.
Published: (2024)
by: Ali, Ameen, et al.
Published: (2024)
Learning to Translate from Soft to Hard LLM Prompts
by: Kongsomjit, Pitipat, et al.
Published: (2026)
by: Kongsomjit, Pitipat, et al.
Published: (2026)
Agentic AI framework for End-to-End Medical Data Inference
by: Shimgekar, Soorya Ram, et al.
Published: (2025)
by: Shimgekar, Soorya Ram, et al.
Published: (2025)
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm
by: Aakanksha, et al.
Published: (2024)
by: Aakanksha, et al.
Published: (2024)
PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning
by: Kachuee, Mohammad, et al.
Published: (2025)
by: Kachuee, Mohammad, et al.
Published: (2025)
MoE-Prism: Disentangling Monolithic Experts for Elastic MoE Services via Model-System Co-Designs
by: Xia, Xinfeng, et al.
Published: (2025)
by: Xia, Xinfeng, et al.
Published: (2025)
RE-GrievanceAssist: Enhancing Customer Experience through ML-Powered Complaint Management
by: C, Venkatesh, et al.
Published: (2024)
by: C, Venkatesh, et al.
Published: (2024)
Prism: A Plug-in Reproducible Infrastructure for Scalable Multimodal Continual Instruction Tuning
by: Tang, Jun-Tao, et al.
Published: (2026)
by: Tang, Jun-Tao, et al.
Published: (2026)
Brewing Knowledge in Context: Distillation Perspectives on In-Context Learning
by: Li, Chengye, et al.
Published: (2025)
by: Li, Chengye, et al.
Published: (2025)
Filtering Beats Fine Tuning: A Bayesian Kalman View of In Context Learning in LLMs
by: Kiruluta, Andrew
Published: (2026)
by: Kiruluta, Andrew
Published: (2026)
Selective Attention: Enhancing Transformer through Principled Context Control
by: Zhang, Xuechen, et al.
Published: (2024)
by: Zhang, Xuechen, et al.
Published: (2024)
Learning Task Representations from In-Context Learning
by: Saglam, Baturay, et al.
Published: (2025)
by: Saglam, Baturay, et al.
Published: (2025)
A comprehensive study of on-device NLP applications -- VQA, automated Form filling, Smart Replies for Linguistic Codeswitching
by: Goyal, Naman
Published: (2024)
by: Goyal, Naman
Published: (2024)
Extending Input Contexts of Language Models through Training on Segmented Sequences
by: Karypis, Petros, et al.
Published: (2023)
by: Karypis, Petros, et al.
Published: (2023)
Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification
by: Liu, Shang, et al.
Published: (2024)
by: Liu, Shang, et al.
Published: (2024)
Stronger Random Baselines for In-Context Learning
by: Yauney, Gregory, et al.
Published: (2024)
by: Yauney, Gregory, et al.
Published: (2024)
In-Context Language Learning: Architectures and Algorithms
by: Akyürek, Ekin, et al.
Published: (2024)
by: Akyürek, Ekin, et al.
Published: (2024)
The Oracle and The Prism: A Decoupled and Efficient Framework for Generative Recommendation Explanation
by: Zhang, Jiaheng, et al.
Published: (2025)
by: Zhang, Jiaheng, et al.
Published: (2025)
Distilled Pretraining: A modern lens of Data, In-Context Learning and Test-Time Scaling
by: Goyal, Sachin, et al.
Published: (2025)
by: Goyal, Sachin, et al.
Published: (2025)
Prompt Optimization via Adversarial In-Context Learning
by: Do, Xuan Long, et al.
Published: (2023)
by: Do, Xuan Long, et al.
Published: (2023)
Exploring Imbalanced Annotations for Effective In-Context Learning
by: Gao, Hongfu, et al.
Published: (2025)
by: Gao, Hongfu, et al.
Published: (2025)
On the Noise Robustness of In-Context Learning for Text Generation
by: Gao, Hongfu, et al.
Published: (2024)
by: Gao, Hongfu, et al.
Published: (2024)
On the Relationship Between the Choice of Representation and In-Context Learning
by: Marinescu, Ioana, et al.
Published: (2025)
by: Marinescu, Ioana, et al.
Published: (2025)
Personalized Adaptation via In-Context Preference Learning
by: Lau, Allison, et al.
Published: (2024)
by: Lau, Allison, et al.
Published: (2024)
ARTICLE: Annotator Reliability Through In-Context Learning
by: Dutta, Sujan, et al.
Published: (2024)
by: Dutta, Sujan, et al.
Published: (2024)
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning
by: Yu, Zeping, et al.
Published: (2024)
by: Yu, Zeping, et al.
Published: (2024)
ABBEL: LLM Agents Acting through Belief Bottlenecks Expressed in Language
by: Lidayan, Aly, et al.
Published: (2025)
by: Lidayan, Aly, et al.
Published: (2025)
MuCoS: Efficient Drug-Target Prediction through Multi-Context-Aware Sampling
by: Gul, Haji, et al.
Published: (2025)
by: Gul, Haji, et al.
Published: (2025)
Uncertainty Quantification for In-Context Learning of Large Language Models
by: Ling, Chen, et al.
Published: (2024)
by: Ling, Chen, et al.
Published: (2024)
Disentangling Latent Shifts of In-Context Learning with Weak Supervision
by: Jukić, Josip, et al.
Published: (2024)
by: Jukić, Josip, et al.
Published: (2024)
In-Context Learning and Fine-Tuning GPT for Argument Mining
by: Cabessa, Jérémie, et al.
Published: (2024)
by: Cabessa, Jérémie, et al.
Published: (2024)
Similar Items
-
Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers
by: Ahuja, Kabir, et al.
Published: (2024) -
InversionView: A General-Purpose Method for Reading Information from Neural Activations
by: Huang, Xinting, et al.
Published: (2024) -
DeCAL Tokenwise Compression
by: Panwar, Sameer
Published: (2025) -
Teaching Transformers Causal Reasoning through Axiomatic Training
by: Vashishtha, Aniket, et al.
Published: (2024) -
Context-Parametric Inversion: Why Instruction Finetuning Can Worsen Context Reliance
by: Goyal, Sachin, et al.
Published: (2024)