Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:13:35.213663Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 100 of 299 outbound references and 3 inbound Pith citation observations for arXiv:2505.13840.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:13:35.213663Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T12:00:53.896063Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T23:40:51.690711Z
100 of 299 outbound references displayed
External citation measurements
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EfficientLLM: Efficiency in Large Language Models Language models are few-shot learners
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EfficientLLM: Efficiency in Large Language Models PaLM: Scaling Language Modeling with Pathways
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EfficientLLM: Efficiency in Large Language Models Scaling Laws for Neural Language Models
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EfficientLLM: Efficiency in Large Language Models Training Compute-Optimal Large Language Models
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EfficientLLM: Efficiency in Large Language Models Automating Customer Service using LangChain: Building custom open-source GPT Chatbot for organizations
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EfficientLLM: Efficiency in Large Language Models LitLLM: A Toolkit for Scientific Literature Review
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EfficientLLM: Efficiency in Large Language Models A general purpose device for interaction with llms
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EfficientLLM: Efficiency in Large Language Models Large language models are zero-shot reasoners
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EfficientLLM: Efficiency in Large Language Models Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
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EfficientLLM: Efficiency in Large Language Models Energy and policy considerations for deep learning in NLP
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EfficientLLM: Efficiency in Large Language Models Efficient Large Language Models: A Survey
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EfficientLLM: Efficiency in Large Language Models Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models
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EfficientLLM: Efficiency in Large Language Models A Survey on Efficient Inference for Large Language Models
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EfficientLLM: Efficiency in Large Language Models Compressing context to enhance inference efficiency of large language models
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EfficientLLM: Efficiency in Large Language Models Generating Long Sequences with Sparse Transformers
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EfficientLLM: Efficiency in Large Language Models GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
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EfficientLLM: Efficiency in Large Language Models Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity
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EfficientLLM: Efficiency in Large Language Models Fast Transformer Decoding: One Write-Head is All You Need
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EfficientLLM: Efficiency in Large Language Models GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Reference 22
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EfficientLLM: Efficiency in Large Language Models DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
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EfficientLLM: Efficiency in Large Language Models Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
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EfficientLLM: Efficiency in Large Language Models Mixed precision training
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EfficientLLM: Efficiency in Large Language Models Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Reference 27
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EfficientLLM: Efficiency in Large Language Models Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen
Reference 28
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EfficientLLM: Efficiency in Large Language Models FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning
Reference 29
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EfficientLLM: Efficiency in Large Language Models KronA: Parameter Efficient Tuning with Kronecker Adapter
Reference 30
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EfficientLLM: Efficiency in Large Language Models One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
Reference 31
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EfficientLLM: Efficiency in Large Language Models LLM.int8() : 8-bit matrix multiplication for transformers at scale
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EfficientLLM: Efficiency in Large Language Models GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
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EfficientLLM: Efficiency in Large Language Models Qlora: Efficient finetuning of quantized llms, 2023
Reference 34
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EfficientLLM: Efficiency in Large Language Models Sparsegpt: Massive language models can be accurately pruned in one-shot, 2023
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EfficientLLM: Efficiency in Large Language Models Unresolved cited work
Reference 36
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EfficientLLM: Efficiency in Large Language Models Distilling the Knowledge in a Neural Network
Reference 37
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EfficientLLM: Efficiency in Large Language Models Fast inference from transformers via speculative decoding
Reference 38
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Observation a640565f-a4fc-432e-92c8-b0834ef23d95 · outbound
EfficientLLM: Efficiency in Large Language Models Gonzalez, Hao Zhang, and Ion Stoica
Reference 39
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EfficientLLM: Efficiency in Large Language Models Mixtral of Experts
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EfficientLLM: Efficiency in Large Language Models Understanding int4 quantization for language models: latency speedup, composability, and failure cases
Reference 41
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EfficientLLM: Efficiency in Large Language Models No free lunch theorems for optimization
Reference 42
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EfficientLLM: Efficiency in Large Language Models Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, and Weizhu Chen
Reference 43
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EfficientLLM: Efficiency in Large Language Models Dora: Weight-decomposed low-rank adaptation
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EfficientLLM: Efficiency in Large Language Models A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA
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EfficientLLM: Efficiency in Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
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EfficientLLM: Efficiency in Large Language Models Improving language understanding by generative pre-training
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EfficientLLM: Efficiency in Large Language Models Language models are unsupervised multitask learners
Reference 48
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EfficientLLM: Efficiency in Large Language Models Bert: Pre-training of deep bidirectional transformers for language understanding
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EfficientLLM: Efficiency in Large Language Models Roberta: A robustly optimized bert pretraining approach, 2019
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EfficientLLM: Efficiency in Large Language Models Text Understanding and Generation Using Transformer Models for Intelligent E-commerce Recommendations
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EfficientLLM: Efficiency in Large Language Models Recommendation systems in the era of llms
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Reference 56
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EfficientLLM: Efficiency in Large Language Models Yu, and Qingsong Wen
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EfficientLLM: Efficiency in Large Language Models Simulating Classroom Education with LLM-Empowered Agents
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EfficientLLM: Efficiency in Large Language Models A Survey on Large Language Models for Code Generation
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EfficientLLM: Efficiency in Large Language Models Mapping the Increasing Use of LLMs in Scientific Papers
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EfficientLLM: Efficiency in Large Language Models In-datacenter performance analysis of a tensor processing unit
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EfficientLLM: Efficiency in Large Language Models A novel neuromorphic processors realization of spiking deep reinforcement learning for portfolio management
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EfficientLLM: Efficiency in Large Language Models Efficient Training of Large Language Models on Distributed Infrastructures: A Survey
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EfficientLLM: Efficiency in Large Language Models A survey on distributed machine learning
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EfficientLLM: Efficiency in Large Language Models Adam: A Method for Stochastic Optimization
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EfficientLLM: Efficiency in Large Language Models DPO Meets PPO: Reinforced Token Optimization for RLHF
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Observation d85b7d3b-7abd-403b-b6bb-e5e2c83b44f6 · outbound
EfficientLLM: Efficiency in Large Language Models Fine-Tuning Language Models with Advantage-Induced Policy Alignment
Reference 98
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Observation dc2c1813-3b42-41c7-8d5d-789d5f42ab0d · outbound
EfficientLLM: Efficiency in Large Language Models Gonzalez, Hao Zhang, and Ion Stoica
Reference 99
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Observation a41aaf69-82db-4343-97e5-8d3cda9a0b66 · outbound
EfficientLLM: Efficiency in Large Language Models The efficiency spectrum of large language models: An algorithmic survey
Reference 100
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Observation 7dca577a-6daa-422e-8760-60b3e58ceedd · outbound
EfficientLLM: Efficiency in Large Language Models Energy and policy considerations for deep learning in nlp
Reference 101
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Observation de19ad69-08bb-40da-a065-06d671a7492a · inbound
SkipOPU: An FPGA-based Overlay Processor for Large Language Models with Dynamically Allocated Computation EfficientLLM: Efficiency in Large Language Models
Reference 50
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Observation cdd5c10d-32a5-4e3a-8d9f-14c7eb85c04d · inbound
MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU EfficientLLM: Efficiency in Large Language Models
Reference 14
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Observation 99a9a95c-ad7b-4a1b-ae3d-a7f8c2c974eb · inbound
APQF: Agentic Profiling-Guided Structured Pruning and Mixed-Precision Quantization with Adaptive Fine-Tuning EfficientLLM: Efficiency in Large Language Models
Reference 51
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