:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Graham, Robert, Stevinson, Edward, Richter, Leo, Chia, Alexander, Miller, Joseph, Bloom, Joseph Isaac
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2506.15735
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ContextBench: A Benchmark for Context Retrieval in Coding Agents
by: Li, Han, et al.
Published: (2026)

LUCoS: Latent Unsupervised Context Selection for Tabular Foundation Models
by: Ipas, Oroel, et al.
Published: (2026)

Building Better Deception Probes Using Targeted Instruction Pairs
by: Natarajan, Vikram, et al.
Published: (2026)

Adversarial Attacks Leverage Interference Between Features in Superposition
by: Stevinson, Edward, et al.
Published: (2025)

Prisma: An Open Source Toolkit for Mechanistic Interpretability in Vision and Video
by: Joseph, Sonia, et al.
Published: (2025)

Efficient Latent Variable Causal Discovery: Combining Score Search and Targeted Testing
by: Ramsey, Joseph, et al.
Published: (2025)

Context Distillation as Latent Memory Management
by: Zheng, Ziyang, et al.
Published: (2026)

In-Context Planning with Latent Temporal Abstractions
by: Luo, Baiting, et al.
Published: (2026)

Investigation into In-Context Learning Capabilities of Transformers
by: Chandrupatla, Rushil, et al.
Published: (2026)

Long Context In-Context Compression by Getting to the Gist of Gisting
by: Petrov, Aleksandar, et al.
Published: (2025)

From Data Statistics to Feature Geometry: How Correlations Shape Superposition
by: Prieto, Lucas, et al.
Published: (2026)

Latent Context Compilation: Distilling Long Context into Compact Portable Memory
by: Li, Zeju, et al.
Published: (2026)

Policy Induction: Predicting Startup Success via Explainable Memory-Augmented In-Context Learning
by: Mu, Xianling, et al.
Published: (2025)

Context-Former: Stitching via Latent Conditioned Sequence Modeling
by: Zhang, Ziqi, et al.
Published: (2024)

Inference Time Context Sparsity: Illusion or Opportunity?
by: Joshi, Sahil, et al.
Published: (2026)

Semantic Context for Tool Orchestration
by: Müller, Robert
Published: (2025)

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?
by: Yang, Wang, et al.
Published: (2025)

Red-teaming Activation Probes using Prompted LLMs
by: Blandfort, Phil, et al.
Published: (2025)

Active Rule Mining for Multivariate Anomaly Detection in Radio Access Networks
by: Isaac, Ebenezer R. H. P., et al.
Published: (2025)

SmartBench: Evaluating LLMs in Smart Homes with Anomalous Device States and Behavioral Contexts
by: Zou, Qingsong, et al.
Published: (2026)

Fair In-Context Learning via Latent Concept Variables
by: Bhaila, Karuna, et al.
Published: (2024)

The Geometric Reasoner: Manifold-Informed Latent Foresight Search for Long-Context Reasoning
by: Zhuang, Ren, et al.
Published: (2026)

LLoCO: Learning Long Contexts Offline
by: Tan, Sijun, et al.
Published: (2024)

Improving LLM Group Fairness on Tabular Data via In-Context Learning
by: Cherepanova, Valeriia, et al.
Published: (2024)

ActivationReasoning: Logical Reasoning in Latent Activation Spaces
by: Helff, Lukas, et al.
Published: (2025)

ELITR-Bench: A Meeting Assistant Benchmark for Long-Context Language Models
by: Thonet, Thibaut, et al.
Published: (2024)

L-Drive: Beyond a Single Mapping-Latent Context Drives Time Series Forecasting
by: Zhang, Fan, et al.
Published: (2026)

Honesty to Subterfuge: In-Context Reinforcement Learning Can Make Honest Models Reward Hack
by: McKee-Reid, Leo, et al.
Published: (2024)

In-Context Reinforcement Learning for Variable Action Spaces
by: Sinii, Viacheslav, et al.
Published: (2023)

A Survey of Explainable Reinforcement Learning: Targets, Methods and Needs
by: Saulières, Léo
Published: (2025)

MileBench: Benchmarking MLLMs in Long Context
by: Song, Dingjie, et al.
Published: (2024)

Yes, Q-learning Helps Offline In-Context RL
by: Tarasov, Denis, et al.
Published: (2025)

Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context
by: Joo, Taejong, et al.
Published: (2025)

Context and Diversity Matter: The Emergence of In-Context Learning in World Models
by: Wang, Fan, et al.
Published: (2025)

Reflective Context Learning: Studying the Optimization Primitives of Context Space
by: Vassilyev, Nikita, et al.
Published: (2026)

Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering
by: Bigelow, Eric, et al.
Published: (2025)

ContextFocus: Activation Steering for Contextual Faithfulness in Large Language Models
by: Anand, Nikhil, et al.
Published: (2026)

Context Tuning for In-Context Optimization
by: Lu, Jack, et al.
Published: (2025)

AvalancheBench: Evaluating Enterprise Data Agents Through Latent World Recovery
by: Kleczek, Darek, et al.
Published: (2026)

Targeted Visualization of the Backbone of Encoder LLMs
by: Roberts, Isaac, et al.
Published: (2024)