Evaluation
35 items tagged with "evaluation"
Benchmarks34
MMLU (Massive Multitask Language Understanding)
A 57-subject multiple-choice benchmark testing broad academic and professional knowledge across STEM, humanities, social sciences, and law.
MMLU-Pro
A harder, reasoning-focused successor to MMLU with ten answer options and tougher questions designed to separate frontier models that saturated the original.
GSM8K (Grade School Math 8K)
A benchmark of ~8,500 grade-school math word problems that test multi-step arithmetic reasoning with a single numeric answer.
MATH (Competition Mathematics)
A benchmark of 12,500 competition-style math problems across algebra, geometry, number theory, and calculus, graded on exact final-answer match.
HumanEval
A code-generation benchmark of 164 Python programming problems graded by executing unit tests, popularizing the pass@k metric.
MBPP (Mostly Basic Python Problems)
A benchmark of ~1,000 entry-level Python programming tasks with test cases, used to evaluate basic code synthesis from short descriptions.
SWE-bench
A benchmark of real GitHub issues from open-source Python repositories where a model must produce a patch that resolves the issue and passes tests.
SWE-bench Verified
A 500-task, human-validated subset of SWE-bench with clear specifications and reliable tests, used as the standard clean measure of agentic coding.
BIG-bench (Beyond the Imitation Game)
A collaborative suite of 200+ diverse tasks probing reasoning, knowledge, and emergent abilities beyond conventional language benchmarks.
BBH (BIG-bench Hard)
A 23-task subset of BIG-bench focused on challenging multi-step reasoning where chain-of-thought prompting yields large gains.
HellaSwag
A commonsense sentence-completion benchmark where models pick the most plausible continuation among adversarially generated distractors.
ARC (AI2 Reasoning Challenge)
A grade-school science question benchmark split into Easy and Challenge sets, the latter built from questions retrieval methods answer incorrectly.
TruthfulQA
A benchmark measuring whether models avoid generating false answers that mimic common human misconceptions and falsehoods.
GPQA (Graduate-Level Google-Proof Q&A)
A benchmark of expert-written, graduate-level science questions designed to be extremely hard even with web access, testing deep domain reasoning.
MMMU (Massive Multi-discipline Multimodal Understanding)
A multimodal benchmark of college-level questions requiring joint reasoning over text and images such as diagrams, charts, and figures.
MT-Bench
A multi-turn conversational benchmark where a strong LLM judge scores model responses across categories on a 1-10 quality scale.
Chatbot Arena
A live, crowdsourced evaluation where users compare two anonymous model responses and votes are aggregated into Elo-style rankings.
HELM (Holistic Evaluation of Language Models)
A standardized framework evaluating language models across many scenarios and multiple metrics including accuracy, robustness, fairness, and efficiency.
DROP (Discrete Reasoning Over Paragraphs)
A reading-comprehension benchmark requiring discrete operations like addition, counting, sorting, and comparison over passage content.
WinoGrande
A large-scale commonsense benchmark of pronoun-resolution sentence pairs designed to require world knowledge rather than lexical cues.
AGIEval
A benchmark built from human standardized exams such as college entrance, law, and civil-service tests to measure human-centric reasoning.
LiveCodeBench
A contamination-resistant coding benchmark that continuously collects new competitive-programming problems and evaluates by execution over time.
AIME (Competition Math Benchmark)
An olympiad-level math benchmark using American Invitational Mathematics Examination problems with integer answers, a key frontier reasoning test.
tau-bench (Tool-Agent-User Benchmark)
An agentic benchmark testing tool-using models in simulated customer-service dialogues that require following domain policies and calling APIs correctly.
Terminal-Bench
An agentic benchmark evaluating models on completing real command-line tasks inside a sandboxed terminal, verified by automated checks.
RULER (Long-Context Benchmark)
A synthetic long-context benchmark with configurable tasks measuring a model's effective context length beyond simple retrieval.
IFEval (Instruction-Following Eval)
A benchmark that measures whether LLMs follow precise, verifiable formatting and content instructions using automatic checks rather than subjective judgment.
SimpleQA
A factuality benchmark of short, fact-seeking questions with single verifiable answers, designed to measure how often LLMs are correct, wrong, or appropriately abstain.
LiveBench
A contamination-resistant benchmark that continuously refreshes questions from recent sources and grades automatically against objective ground truth across many task categories.
BigCodeBench
A code-generation benchmark for realistic programming tasks that require composing many library calls, evaluated with rigorous test suites and high branch coverage.
RewardBench
A benchmark for reward models and LLM judges that measures how well they prefer better responses over worse ones across chat, reasoning, safety, and refusal cases.
AlpacaEval
An automated LLM-as-judge benchmark that estimates a model's win rate against a reference model on open-ended instructions, with a length-controlled variant to reduce verbosity bias.
Arena-Hard
An automatic benchmark of challenging, real-user-derived prompts graded by an LLM judge, built to align closely with human preference rankings and separate strong models.
MMBench (Multimodal Benchmark)
A systematic multimodal benchmark that evaluates vision-language models across many fine-grained ability dimensions using a robustness-checked multiple-choice protocol.