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 551–560 of 1135 papers

TitleStatusHype
GROOT: Learning to Follow Instructions by Watching Gameplay Videos—0
GROOT-2: Weakly Supervised Multi-Modal Instruction Following Agents—0
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning—0
Griffon-G: Bridging Vision-Language and Vision-Centric Tasks via Large Multimodal Models—0
Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models—0
LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following—0
LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction—0
GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation—0
Got Compute, but No Data: Lessons From Post-training a Finnish LLM—0
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control—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