Collections
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Collections including paper arxiv:2404.03820
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Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots
Paper • 2405.07990 • Published • 15 -
Large Language Models as Planning Domain Generators
Paper • 2405.06650 • Published • 8 -
AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation
Paper • 2404.12753 • Published • 39 -
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Paper • 2404.07972 • Published • 41
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BLINK: Multimodal Large Language Models Can See but Not Perceive
Paper • 2404.12390 • Published • 23 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 175 -
RULER: What's the Real Context Size of Your Long-Context Language Models?
Paper • 2404.06654 • Published • 32 -
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues
Paper • 2404.03820 • Published • 21
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Can large language models explore in-context?
Paper • 2403.15371 • Published • 30 -
Advancing LLM Reasoning Generalists with Preference Trees
Paper • 2404.02078 • Published • 41 -
Long-context LLMs Struggle with Long In-context Learning
Paper • 2404.02060 • Published • 33 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 58
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LITA: Language Instructed Temporal-Localization Assistant
Paper • 2403.19046 • Published • 16 -
Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces
Paper • 2403.20275 • Published • 8 -
Condition-Aware Neural Network for Controlled Image Generation
Paper • 2404.01143 • Published • 11 -
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues
Paper • 2404.03820 • Published • 21
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Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Paper • 2310.20587 • Published • 15 -
SELF: Language-Driven Self-Evolution for Large Language Model
Paper • 2310.00533 • Published • 2 -
QLoRA: Efficient Finetuning of Quantized LLMs
Paper • 2305.14314 • Published • 41 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 43
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 50 -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 46 -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 126 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 18