Multiverse's new paper, "LLM Compression by Block Removal with Constrained Binary Optimization" (arXiv 2602.00161), reformulates block-removal pruning of large language models as a constrained binary …
Osprey, a target-agnostic speculative decoding method detailed in arXiv:2609.09338v1, raises mean acceptance length by 16.1% on Qwen3-8B, 21.2% on Llama-3.3-70B-Instruct, and 22.7% on MiniMax-M2.5 (22…
Researchers introduced Osprey, a target-agnostic pretraining method for speculative decoding drafters that bootstraps them from off-the-shelf pretrained small language models, according to the arXiv p…
Telnyx released a Python Flask example that redacts personally identifiable information (PII) from call transcripts and recordings using its AI inference API. The app replaces common PII types like na…
A study presented at the 2026 Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) finds that large language models used as role-playing agents exhibit a trade-off between …
In a head-to-head comparison, xAI's grok-4.3 outperformed Meta's Llama-3.3-70B-Instruct with a score of 38.0 to 26.0 across four text tasks, primarily due to grok-4.3's superior ability to follow form…