WebGameBench is a new benchmark that evaluates coding agents on building browser-native games from frozen specifications, with runtime browser evaluation showing best agents reach 76.9% usable rate but only 20.2% excellent rate.
Livecodebench: Holistic and contamination free evaluation of large language models for code
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
DDTree builds a draft tree from a block diffusion drafter using a best-first heap on its output probabilities and verifies the tree in one target-model pass via an ancestor-only attention mask, increasing average accepted tokens per round.
citing papers explorer
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WebGameBench: Requirement-to-Application Evaluation for Coding Agents via Browser-Native Games
WebGameBench is a new benchmark that evaluates coding agents on building browser-native games from frozen specifications, with runtime browser evaluation showing best agents reach 76.9% usable rate but only 20.2% excellent rate.
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Accelerating Speculative Decoding with Block Diffusion Draft Trees
DDTree builds a draft tree from a block diffusion drafter using a best-first heap on its output probabilities and verifies the tree in one target-model pass via an ancestor-only attention mask, increasing average accepted tokens per round.