What Do We Expect from LLMs? Mapping the Design of LLM Benchmarks
cs.AI, cs.CL
Submitted: 2026-09-15
Updated: 2026-09-15
Comments: 15 pages, 5 figures, 7 tables. Data and code: https://github.com/xxcg322/LLM-Bench-Map
Code: https://github.com/xxcg322/LLM-Bench-Map
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- A Survey on Evaluation of Large Language Models
- A Survey on Large Language Model Benchmarks
- The Benchmark Lottery
- Asuka-Bench: Benchmarking Code Agents on Underspecified User Intent and Multi-Round Refinement
- WebArena: A Realistic Web Environment for Building Autonomous Agents
- Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
- Preference Leakage: A Contamination Problem in LLM-as-a-judge
- Measurement and Fairness
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