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INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models
Paper • 2306.04757 • Published • 6 -
Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation
Paper • 2308.01240 • Published • 2 -
Can Large Language Models Understand Real-World Complex Instructions?
Paper • 2309.09150 • Published • 2 -
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection
Paper • 2308.10819 • Published
Collections
Discover the best community collections!
Collections including paper arxiv:2312.01552
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LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Paper • 2309.12307 • Published • 87 -
NEFTune: Noisy Embeddings Improve Instruction Finetuning
Paper • 2310.05914 • Published • 14 -
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 56 -
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon
Paper • 2401.03462 • Published • 26
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Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
Paper • 2312.04474 • Published • 29 -
Training Chain-of-Thought via Latent-Variable Inference
Paper • 2312.02179 • Published • 8 -
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
Paper • 2312.01552 • Published • 30 -
AppAgent: Multimodal Agents as Smartphone Users
Paper • 2312.13771 • Published • 51
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#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
Paper • 2308.07074 • Published -
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing
Paper • 2310.13855 • Published • 1 -
LIMIT: Less Is More for Instruction Tuning Across Evaluation Paradigms
Paper • 2311.13133 • Published -
Group Preference Optimization: Few-Shot Alignment of Large Language Models
Paper • 2310.11523 • Published
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The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
Paper • 2210.14986 • Published • 5 -
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2
Paper • 2311.10702 • Published • 18 -
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 75 -
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Paper • 2309.04269 • Published • 32
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UT5: Pretraining Non autoregressive T5 with unrolled denoising
Paper • 2311.08552 • Published • 7 -
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations
Paper • 2311.08469 • Published • 10 -
Contrastive Chain-of-Thought Prompting
Paper • 2311.09277 • Published • 34 -
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
Paper • 2312.01552 • Published • 30
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Eureka: Human-Level Reward Design via Coding Large Language Models
Paper • 2310.12931 • Published • 26 -
GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEs
Paper • 2311.04901 • Published • 7 -
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems
Paper • 2311.05884 • Published • 5 -
PolyMaX: General Dense Prediction with Mask Transformer
Paper • 2311.05770 • Published • 6