From the 1 of 2 linked papers with an AI index.
18 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Flat Score, Amplified Failures: How the Error Budget Masks Damage in Quantized LLM Agents
Jiwon Jang, Kisu Yang, Heuiseok Lim +1
The paper evaluates 4-bit post‑training quantization of multi‑turn, tool‑calling LLM agents and finds that while standard scores remain unchanged, quantization substantially increa…
cs.LG2026★ 18 cited
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1144
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…