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conftrace_

parameter scaling

25 papers

Papers

Decoupling Knowledge and Reasoning in LLMs: An Exploration Using Cognitive Dual-System Theory AAAI 2026 Evaluating Cost-Efficiency of LLMs in a RAG Setup on Polish Wikipedia: Quality vs. Energy Consumption EACL 2026 Evaluating Pretrained Causal Language Models for Synonymy ACL 2025 Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters ICLR 2025 mmJEE-Eval: A Bilingual Multimodal Benchmark for Evaluating Scientific Reasoning in Vision-Language Models IJCNLP 2025 TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters ICLR 2025 Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale EMNLP 2024 EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models CVPR 2024 End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames CVPR 2024 Mixture of Tokens: Continuous MoE through Cross-Example Aggregation NeurIPS 2024 On Training Data Influence of GPT Models EMNLP 2024 Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training NeurIPS 2024 ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale ACL 2024 Scaling Parameter-Constrained Language Models with Quality Data EMNLP 2024 Scaling Sentence Embeddings with Large Language Models EMNLP 2024 Network Expansion for Practical Training Acceleration CVPR 2023 Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling ICML 2023 Scaling Data-Constrained Language Models NeurIPS 2023 Scaling Laws for BERT in Low-Resource Settings ACL 2023 A Few More Examples May Be Worth Billions of Parameters EMNLP 2022 Network Augmentation for Tiny Deep Learning ICLR 2022 Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models ACL 2022 Data and Parameter Scaling Laws for Neural Machine Translation EMNLP 2021 Larger-Scale Transformers for Multilingual Masked Language Modeling ACL 2021 NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks CVPR 2020