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 531–540 of 1135 papers

TitleStatusHype
HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models—0
SteP: Stacked LLM Policies for Web Actions—0
HAPFI: History-Aware Planning based on Fused Information—0
CROME: Cross-Modal Adapters for Efficient Multimodal LLM—0
LEWIS (LayEr WIse Sparsity) -- A Training Free Guided Model Merging Approach—0
Aligning Text, Images, and 3D Structure Token-by-Token—0
Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination—0
Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval—0
Guided Adaptive Credit Assignment for Sample Efficient Policy Optimization—0
Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels—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