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Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
Paper • 2211.04325 • Published -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 17 -
On the Opportunities and Risks of Foundation Models
Paper • 2108.07258 • Published -
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 1
Collections
Discover the best community collections!
Collections including paper arxiv:2403.04132
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Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
Paper • 2403.04132 • Published • 39 -
Evaluating Very Long-Term Conversational Memory of LLM Agents
Paper • 2402.17753 • Published • 20 -
The FinBen: An Holistic Financial Benchmark for Large Language Models
Paper • 2402.12659 • Published • 21 -
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Paper • 2402.13249 • Published • 13
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 55 -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 51 -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 138 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 20
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FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models
Paper • 2402.10986 • Published • 78 -
Aria Everyday Activities Dataset
Paper • 2402.13349 • Published • 31 -
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
Paper • 2403.04132 • Published • 39 -
SaulLM-7B: A pioneering Large Language Model for Law
Paper • 2403.03883 • Published • 80
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Unicron: Economizing Self-Healing LLM Training at Scale
Paper • 2401.00134 • Published • 11 -
Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models
Paper • 2401.00788 • Published • 22 -
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
Paper • 2401.04398 • Published • 24 -
The Impact of Reasoning Step Length on Large Language Models
Paper • 2401.04925 • Published • 18
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CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
Paper • 2401.03065 • Published • 11 -
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Paper • 2305.01210 • Published • 3 -
AGIBench: A Multi-granularity, Multimodal, Human-referenced, Auto-scoring Benchmark for Large Language Models
Paper • 2309.06495 • Published • 1 -
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
Paper • 2311.16502 • Published • 35
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TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
Paper • 2312.16862 • Published • 31 -
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
Paper • 2312.17172 • Published • 28 -
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers
Paper • 2401.01974 • Published • 7 -
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
Paper • 2401.01885 • Published • 28
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Levels of AGI: Operationalizing Progress on the Path to AGI
Paper • 2311.02462 • Published • 37 -
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Paper • 2206.04615 • Published • 5 -
A Survey on Evaluation of Large Language Models
Paper • 2307.03109 • Published • 42 -
Bring Your Own Data! Self-Supervised Evaluation for Large Language Models
Paper • 2306.13651 • Published • 15