Showing 1–20 of 39 results
/ Date/ Name
Dec 10, 2020A Novel Hybrid Algorithm for Lucky ImagingOct 2, 2024Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion?Jan 8, 2025Do Code LLMs Understand Design Patterns?Mar 31, 2025Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time ComputeFeb 3, 2026Beyond Quantity: Trajectory Diversity Scaling for Code AgentsApr 30, 2026To Diff or Not to Diff? Structure-Aware and Adaptive Output Formats for Efficient LLM-based Code EditingMay 12, 2020Dynamic Memory Induction Networks for Few-Shot Text ClassificationJun 20, 2023CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High QualityOct 30, 2024EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific EvaluationsOct 2, 2024In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar TasksNov 21, 2024LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software IssuesOct 1, 2024Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model PretrainingOct 21, 2025InspectCoder: Dynamic Analysis-Enabled Self Repair through interactive LLM-Debugger CollaborationOct 21, 2025CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics AlignmentFeb 27, 2019Induction Networks for Few-Shot Text ClassificationJun 28, 2022Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL ParsingJun 12, 2023History Semantic Graph Enhanced Conversational KBQA with Temporal Information ModelingMay 22, 2023Iterative Forward Tuning Boosts In-Context Learning in Language ModelsNov 1, 2024Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software ImprovementJun 29, 2025Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format