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Showing 101–125 of 264 papers

TitleStatusHype
ContraCLM: Contrastive Learning For Causal Language ModelCode1
Fault-Aware Neural Code RankersCode1
Turning the Tide: Repository-based Code Reflection—0
SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization—0
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models—0
AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System NeedCode0
Guaranteed Guess: A Language Modeling Approach for CISC-to-RISC Transpilation with Testing Guarantees—0
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing—0
Guideline Forest: Experience-Induced Multi-Guideline Reasoning with Stepwise Aggregation—0
SwiftEval: Developing a Language-Specific Benchmark for LLM-generated Code Evaluation—0
Enhancing LLM-Based Code Generation with Complexity Metrics: A Feedback-Driven Approach—0
Actor-Critic based Online Data Mixing For Language Model Pre-Training—0
Self-Correcting Code Generation Using Small Language ModelsCode0
An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks—0
Evaluating Large Language Models for Code Review—0
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models—0
From Output to Evaluation: Does Raw Instruction-Tuned Code LLMs Output Suffice for Fill-in-the-Middle Code Generation?—0
Prior Prompt Engineering for Reinforcement Fine-Tuning—0
Warm Up Before You Train: Unlocking General Reasoning in Resource-Constrained SettingsCode0
Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models—0
AttentionInfluence: Adopting Attention Head Influence for Weak-to-Strong Pretraining Data Selection—0
Enhancing Code Generation via Bidirectional Comment-Level Mutual GroundingCode0
CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts—0
The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models—0
Memorization or Interpolation ? Detecting LLM Memorization through Input Perturbation Analysis—0
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