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Large Language Models

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Papers

Mast Kalandar at SemEval-2024 Task 8: On the Trail of Textual Origins: RoBERTa-BiLSTM Approach to Detect AI-Generated Text SemEval 2024 MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark ACL 2024 MathScale: Scaling Instruction Tuning for Mathematical Reasoning ICML 2024 MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization ACL 2024 Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions EMNLP 2024 MaxMin-RLHF: Alignment with Diverse Human Preferences ICML 2024 MBIAS: Mitigating Bias in Large Language Models While Retaining Context ACL 2024 MBZUAI-UNAM at SemEval-2024 Task 1: Sentence-CROBI, a Simple Cross-Bi-Encoder-Based Neural Network Architecture for Semantic Textual Relatedness SemEval 2024 mDPO: Conditional Preference Optimization for Multimodal Large Language Models EMNLP 2024 Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Method ACL 2024 Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset NeurIPS 2024 Measuring Political Bias in Large Language Models: What Is Said and How It Is Said ACL 2024 Measuring Psychological Depth in Language Models EMNLP 2024 Measuring the Inconsistency of Large Language Models in Preferential Ranking ACL 2024 Mechanics of Next Token Prediction with Self-Attention AISTATS 2024 Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations EMNLP 2024 MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning EMNLP 2024 Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion EMNLP 2024 MedReadMe: A Systematic Study for Fine-grained Sentence Readability in Medical Domain EMNLP 2024 MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models NeurIPS 2024 Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads ICML 2024 MEEL: Multi-Modal Event Evolution Learning ACL 2024 MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter ACL 2024 Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length NeurIPS 2024 MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science EMNLP 2024