error correction

A Metacognitive Architecture for Correcting LLM Errors in AI Agents AAAI 2026 AP2O-Coder: Adaptively Progressive Preference Optimization for Reducing Compilation and Runtime Errors in LLM-Generated Code AAAI 2026 ARGH-Mark: Anchor-Synchronized Watermarking with Hamming Correction for Robust and Quality-Preserving LLM Attribution AAAI 2026 Client-level Active Error Correction in Distributed Learning AAAI 2026 CorrectNav: Self-Correction Flywheel Empowers Vision-Language-Action Navigation Model AAAI 2026 FineRef: Fine-Grained Error Reflection and Correction for Long-Form Generation with Citations AAAI 2026 Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization ACL 2026 iSeal: Encrypted Fingerprinting for Reliable LLM Ownership Verification AAAI 2026 Learning Structurally Stabilized Representations for Lossless DNA Storage AAAI 2026 MavenCoder: Competitive Code Generation via Model Adaptive Planning Strategies and Multi-Perspective Verification Enhancement ACL 2026 Minimal Free Resolution Guided Adaptive Tree Reasoning ACL 2026 Nahw: A Comprehensive Benchmark of Arabic Grammar Understanding, Error Detection, Correction, and Explanation EACL 2026 ShowTable: Unlocking Creative Table Visualization with Collaborative Reflection and Refinement CVPR 2026 Using Constraint Solvers to Construct Binary Codes with Good Error Correction Performance AAAI 2026 AILS-NTUA at SemEval-2025 Task 8: Language-to-Code prompting and Error Fixing for Tabular Question Answering SemEval 2025 An approach to measuring the performance of Automatic Speech Recognition(ASR) models in the context of Large Language Model(LLM) powered applications Interspeech 2025 AskToAct: Enhancing LLMs Tool Use via Self-Correcting Clarification EMNLP 2025 ASR-EC Benchmark: Evaluating Large Language Models on Chinese ASR Error Correction EMNLP 2025 Better Pseudo-labeling with Multi-ASR Fusion and Error Correction by SpeechLLM Interspeech 2025 Bit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework EMNLP 2025 Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves? CVPR 2025 Can LLMs Learn from Their Mistakes? Self-Correcting Instruction Tuning for Named Entity Recognition IJCNLP 2025 Can Vision-Language Models Evaluate Handwritten Math? ACL 2025 DecDEC: A Systems Approach to Advancing Low-Bit LLM Quantization OSDI 2025 DSVD: Dynamic Self-Verify Decoding for Faithful Generation in Large Language Models EMNLP 2025