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Showing 101–125 of 264 papers

TitleStatusHype
Planning In Natural Language Improves LLM Search For Code GenerationCode1
SemCoder: Training Code Language Models with Comprehensive Semantics ReasoningCode1
Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting—0
Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Enhancement Protocol—0
Addressing Data Leakage in HumanEval Using Combinatorial Test Design—0
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models—0
BASS: Batched Attention-optimized Speculative Sampling—0
Importing Phantoms: Measuring LLM Package Hallucination Vulnerabilities—0
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models—0
Large Language Model Guided Self-Debugging Code Generation—0
Guideline Forest: Experience-Induced Multi-Guideline Reasoning with Stepwise Aggregation—0
AutoTest: Evolutionary Code Solution Selection with Test Cases—0
An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks—0
Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge—0
Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models—0
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks—0
Guaranteed Guess: A Language Modeling Approach for CISC-to-RISC Transpilation with Testing Guarantees—0
GRIN: GRadient-INformed MoE—0
Grammar-Based Code Representation: Is It a Worthy Pursuit for LLMs?—0
CodeShell Technical Report—0
Code-Optimise: Self-Generated Preference Data for Correctness and Efficiency—0
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks—0
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts—0
InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion—0
Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment—0
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