SOTAVerified

Instruction Following

Instruction following is the basic task of the model. This task is dedicated to evaluating the ability of the large model to follow human instructions. It is hoped that the model can generate controllable and safe answers.

Papers

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Showing 591–600 of 1135 papers

TitleStatusHype
GROOT-2: Weakly Supervised Multi-Modal Instruction Following Agents—0
GROOT: Learning to Follow Instructions by Watching Gameplay Videos—0
Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective—0
Grounding Language by Continuous Observation of Instruction Following—0
Language Conditioned Imitation Learning over Unstructured Data—0
Ground-level Viewpoint Vision-and-Language Navigation in Continuous Environments—0
Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels—0
Guided Adaptive Credit Assignment for Sample Efficient Policy Optimization—0
Differential Information: An Information-Theoretic Perspective on Preference Optimization—0
Systematic Evaluation of Long-Context LLMs on Financial Concepts—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4—Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88—Unverified
3GPT-4Inst-level loose-accuracy85.37—Unverified
4PaLM 2 SInst-level loose-accuracy59.11—Unverified