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 761–770 of 1135 papers

TitleStatusHype
LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model—0
LLaVA-Critic: Learning to Evaluate Multimodal Models—0
Better Instruction-Following Through Minimum Bayes Risk—0
The Perfect Blend: Redefining RLHF with Mixture of Judges—0
Revisiting the Superficial Alignment Hypothesis—0
Align^2LLaVA: Cascaded Human and Large Language Model Preference Alignment for Multi-modal Instruction CurationCode0
MMMT-IF: A Challenging Multimodal Multi-Turn Instruction Following Benchmark—0
Inference-Time Language Model Alignment via Integrated Value Guidance—0
EAGLE: Towards Efficient Arbitrary Referring Visual Prompts Comprehension for Multimodal Large Language Models—0
Mitigating the Bias of Large Language Model EvaluationCode0
Show:102550
← PrevPage 77 of 114Next →

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