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5 results for “long-context”
Position Encoding in Transformers: From Absolute and Relative Methods to Rotary Position Embeddings and Long-Context Scaling
A technical survey paper on position encoding methods in Transformers synthesizes and compares absolute, relative, and rotary embedding techniques, with emphasis on long-context scaling strategies and empirical evaluation criteria.
Aug 13, 2026
LFM2.5-Encoders for Fast Long-Context Inference on CPU
Hugging Face announced LFM2.5-Encoders, a new open-source CPU-optimized encoder architecture designed to accelerate long-context inference for language models without GPU reliance.
Jul 28, 2026
SF-AMS: Strategic Forgetting for Structured Memory in LLM Agent
A new memory management framework called SF-AMS introduces utility-driven 'strategic forgetting' to improve long-context reasoning in LLM agents by dynamically prioritizing stable, entity-consistent information and filtering noise.
Jul 28, 2026
WILDTRACE: Benchmarking Natural Evidence Trails in Long-Context Reasoning
WILDTRACE is a new benchmark for evaluating AI models' ability to reason across naturally dispersed evidence in long documents, addressing a gap in existing long-context evaluation methods.
Jul 13, 2026
Beyond Perplexity: A Behavioral Evaluation Framework for Deployment-Memory Claims in LLM Test-Time Training
Researchers propose a behavioral evaluation framework to assess large language model test-time training (TTT) memory claims.
Published Jul 2, 2026 · Analyzed Jul 5, 2026