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Large Language Models

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Papers

Scaling Exponents Across Parameterizations and Optimizers ICML 2024 Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models EMNLP 2024 Scaling Laws for Fact Memorization of Large Language Models EMNLP 2024 Scaling Properties of Speech Language Models EMNLP 2024 Scaling Retrieval-Based Language Models with a Trillion-Token Datastore NeurIPS 2024 Scaling Sentence Embeddings with Large Language Models EMNLP 2024 Schema-Driven Information Extraction from Heterogeneous Tables EMNLP 2024 SciCode: A Research Coding Benchmark Curated by Scientists NeurIPS 2024 Securing Multi-turn Conversational Language Models From Distributed Backdoor Attacks EMNLP 2024 Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers? EMNLP 2024 Selective Generation for Controllable Language Models NeurIPS 2024 SelfCodeAlign: Self-Alignment for Code Generation NeurIPS 2024 Self-Powered LLM Modality Expansion for Large Speech-Text Models EMNLP 2024 Self-Retrieval: End-to-End Information Retrieval with One Large Language Model NeurIPS 2024 Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement CVPR 2024 SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning NeurIPS 2024 Semformer: Transformer Language Models with Semantic Planning EMNLP 2024 Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation AAAI 2024 Sequential API Function Calling Using GraphQL Schema EMNLP 2024 Set It Up!: Functional Object Arrangement with Compositional Generative Models RSS 2024 SETLEXSEM CHALLENGE: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models NeurIPS 2024 SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore NAACL 2024 SGLang: Efficient Execution of Structured Language Model Programs NeurIPS 2024 ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors EMNLP 2024 Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models ACL 2024