conftrace_

language model

4,660 papers

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Also known as

LMS LM

Co-occurring keywords · papers mentioning both

large language model (543) text generation (403) transfer learning (301) text classification (288) pre-trained language model (251) representation learning (190) question answering (190) knowledge distillation (180) few-shot learning (170) zero-shot learning (160)

Papers

MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models EMNLP 2024 MTLS: Making Texts into Linguistic Symbols EMNLP 2024 Multi-Head Mixture-of-Experts NeurIPS 2024 Multiple Sources are Better Than One: Incorporating External Knowledge in Low-Resource Glossing EMNLP 2024 Multi-trait User Simulation with Adaptive Decoding for Conversational Task Assistants EMNLP 2024 Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers ACL 2024 Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models EMNLP 2024 Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models EMNLP 2024 Nearest Neighbor Speculative Decoding for LLM Generation and Attribution NeurIPS 2024 Neural Codec Language Models for Disentangled and Textless Voice Conversion Interspeech 2024 NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge NAACL 2024 Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training ACL 2024 NevIR: Negation in Neural Information Retrieval EACL 2024 News Risk Alerting System (NRAS): A Data-Driven LLM Approach to Proactive Credit Risk Monitoring EMNLP 2024 NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian EMNLP 2024 Non-Essential Is NEcessary: Order-agnostic Multi-hop Question Generation COLING 2024 Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models AAAI 2024 NumeroLogic: Number Encoding for Enhanced LLMs’ Numerical Reasoning EMNLP 2024 Observational Scaling Laws and the Predictability of Langauge Model Performance NeurIPS 2024 OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step NeurIPS 2024 Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NeurIPS 2024 On Efficiently Representing Regular Languages as RNNs ACL 2024 One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP Tasks EMNLP 2024 One-Shot Safety Alignment for Large Language Models via Optimal Dualization NeurIPS 2024 One-to-many testing for code generation from (just) natural language EMNLP 2024