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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 881–890 of 1135 papers

TitleStatusHype
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning—0
A safety realignment framework via subspace-oriented model fusion for large language modelsCode0
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models—0
SpeechVerse: A Large-scale Generalizable Audio Language Model—0
Improving Instruction Following in Language Models through Proxy-Based Uncertainty EstimationCode0
Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model EvaluationCode0
Long Context Alignment with Short Instructions and Synthesized Positions—0
Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment—0
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language ModelCode0
WildChat: 1M ChatGPT Interaction Logs in the Wild—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