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 221–230 of 1135 papers

TitleStatusHype
RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-FollowingCode0
Do we Really Need Visual Instructions? Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models—0
SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models—0
Step-Audio: Unified Understanding and Generation in Intelligent Speech InteractionCode7
Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding—0
Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM's NestCode0
CORDIAL: Can Multimodal Large Language Models Effectively Understand Coherence Relationships?Code0
Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical MappingCode1
Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness InstructionCode0
Large Language Diffusion ModelsCode7
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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