ClassEval-Pro benchmark shows frontier LLMs achieve at most 45.6% Pass@1 on class-level code tasks, with logic errors (56%) and dependency errors (38%) as dominant failure modes.
Deveval: A manually-annotated code generation benchmark aligned with real-world code repositories
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LLMs display clear performance stratification on formal language tasks aligned with Chomsky hierarchy complexity levels, limited by severe efficiency barriers rather than absolute capability.
SetupX presents an experiential learning framework for LLM agents that reaches 92% pass rate on functionality-correct repository setup by transferring verified fixes across repositories via XPU representations, LIFO Docker snapshots, and Prosecutor-Judge verification.
AdaDec improves Pass@1 accuracy of LLM code generation by up to 20.9% over greedy decoding by triggering lookahead reranking only at high-uncertainty steps on HumanEval+, MBPP+, and DevEval.
citing papers explorer
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ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation
ClassEval-Pro benchmark shows frontier LLMs achieve at most 45.6% Pass@1 on class-level code tasks, with logic errors (56%) and dependency errors (38%) as dominant failure modes.
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Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy
LLMs display clear performance stratification on formal language tasks aligned with Chomsky hierarchy complexity levels, limited by severe efficiency barriers rather than absolute capability.
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SetupX: Can LLM Agents Learn from Past Failures in Functionality-Correct Code Repository Setup?
SetupX presents an experiential learning framework for LLM agents that reaches 92% pass rate on functionality-correct repository setup by transferring verified fixes across repositories via XPU representations, LIFO Docker snapshots, and Prosecutor-Judge verification.
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AdaDec: A Uncertainty-Guided Lookahead Decoding Framework for LLM-Based Code Generation
AdaDec improves Pass@1 accuracy of LLM code generation by up to 20.9% over greedy decoding by triggering lookahead reranking only at high-uncertainty steps on HumanEval+, MBPP+, and DevEval.