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Showing 151–175 of 264 papers

TitleStatusHype
Evaluating Large Language Models for Code Review—0
Reasoning Runtime Behavior of a Program with LLM: How Far Are We?—0
Exploring and Evaluating Hallucinations in LLM-Powered Code Generation—0
Falcon: Faster and Parallel Inference of Large Language Models through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree—0
From Output to Evaluation: Does Raw Instruction-Tuned Code LLMs Output Suffice for Fill-in-the-Middle Code Generation?—0
Fully Autonomous Programming using Iterative Multi-Agent Debugging with Large Language Models—0
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks—0
Grammar-Based Code Representation: Is It a Worthy Pursuit for LLMs?—0
GRIN: GRadient-INformed MoE—0
Guaranteed Guess: A Language Modeling Approach for CISC-to-RISC Transpilation with Testing Guarantees—0
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks—0
Guideline Forest: Experience-Induced Multi-Guideline Reasoning with Stepwise Aggregation—0
Importing Phantoms: Measuring LLM Package Hallucination Vulnerabilities—0
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models—0
InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion—0
Interactive Code Generation via Test-Driven User-Intent Formalization—0
Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval—0
Kotlin ML Pack: Technical Report—0
KV Prediction for Improved Time to First Token—0
Large Language Model Guided Self-Debugging Code Generation—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
Learning to Reason via Self-Iterative Process Feedback for Small Language Models—0
Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs—0
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code—0
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