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Showing 3801–3825 of 14182 papers

TitleStatusHype
Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic ModelsCode1
Minor DPO reject penalty to increase training robustness—0
CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language ModelsCode1
Geometry Informed Tokenization of Molecules for Language Model Generation—0
Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Design—0
Moonshine: Distilling Game Content Generators into Steerable Generative Models—0
FASST: Fast LLM-based Simultaneous Speech Translation—0
Grammatical Error Feedback: An Implicit Evaluation Approach—0
REFINE-LM: Mitigating Language Model Stereotypes via Reinforcement Learning—0
HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language ModelCode1
Sentiment analysis of preservice teachers' reflections using a large language model—0
Generating Data with Text-to-Speech and Large-Language Models for Conversational Speech RecognitionCode0
Chinese Metaphor Recognition Using a Multi-stage Prompting Large Language Model—0
AI Managed Emergency Documentation with a Pretrained Model—0
Architectural Foundations for the Large Language Model Infrastructures—0
Risks and NLP Design: A Case Study on Procedural Document QA—0
ECG-Chat: A Large ECG-Language Model for Cardiac Disease DiagnosisCode2
An End-to-End Model for Photo-Sharing Multi-modal Dialogue GenerationCode0
DePrompt: Desensitization and Evaluation of Personal Identifiable Information in Large Language Model Prompts—0
Research on Personalized Compression Algorithm for Pre-trained Models Based on Homomorphic Entropy Increase—0
LLM-PCGC: Large Language Model-based Point Cloud Geometry Compression—0
Collaborative Cross-modal Fusion with Large Language Model for Recommendation—0
CIKMar: A Dual-Encoder Approach to Prompt-Based Reranking in Educational Dialogue Systems—0
mRNA2vec: mRNA Embedding with Language Model in the 5'UTR-CDS for mRNA DesignCode1
A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs—0
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