activity
20242026
most citedPuzzle: Distillation-Based NAS for Inference-Optimized LLMs

2 citations · 2 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.LG2024★ 2 cited

Puzzle: Distillation-Based NAS for Inference-Optimized LLMs

Akhiad Bercovich, Tomer Ronen, Talor Abramovich +23

Large language models (LLMs) offer remarkable capabilities, yet their high inference costs restrict wider adoption. While increasing parameter counts improves accuracy, it also bro…

cs.AI2024

EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities

Talor Abramovich, Meet Udeshi, Minghao Shao +13

Although language model (LM) agents have demonstrated increased performance in multiple domains, including coding and web-browsing, their success in cybersecurity has been limited.…