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 451–460 of 1135 papers

TitleStatusHype
Adaptive Detoxification: Safeguarding General Capabilities of LLMs through Toxicity-Aware Knowledge Editing—0
Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling—0
DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding—0
AC/DC: LLM-based Audio Comprehension via Dialogue Continuation—0
Better Instruction-Following Through Minimum Bayes Risk—0
Efficient Prompt Optimization Through the Lens of Best Arm Identification—0
Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective—0
Iterative Value Function Optimization for Guided Decoding—0
Differential Information: An Information-Theoretic Perspective on Preference Optimization—0
DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation—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