BestHub
Sign in
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Mar 7, 2026 · Artificial Intelligence

How Princeton’s DYSCO Decoder Boosts Long-Context Reasoning by 25% Without Fine‑Tuning

The DYSCO (Dynamic Attention‑Scaling Decoding) algorithm, introduced by Princeton’s Chen Danqi team and NYU, eliminates the need for fine‑tuning and restores performance on long‑context tasks, delivering up to a 25% relative gain on 128K token benchmarks while adding only about 3.8% extra FLOPs.

DYSCODynamic Attention ScalingLong-context LLM
0 likes · 10 min read
How Princeton’s DYSCO Decoder Boosts Long-Context Reasoning by 25% Without Fine‑Tuning
NewBeeNLP
NewBeeNLP
Apr 11, 2024 · Artificial Intelligence

How BAMBOO Benchmarks Long-Context LLMs: Design, Tasks, and Key Findings

The article introduces the BAMBOO benchmark for evaluating large language models on long-text tasks, outlines its four design principles, describes ten datasets across five tasks, presents experimental results on five models, and discusses five research questions and future directions for improving long-context modeling.

Artificial IntelligenceLong-context LLM
0 likes · 9 min read
How BAMBOO Benchmarks Long-Context LLMs: Design, Tasks, and Key Findings