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 641–650 of 1135 papers

TitleStatusHype
WoLF: Wide-scope Large Language Model Framework for CXR Understanding—0
Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks—0
MMMT-IF: A Challenging Multimodal Multi-Turn Instruction Following Benchmark—0
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues—0
Towards Vision Enhancing LLMs: Empowering Multimodal Knowledge Storage and Sharing in LLMs—0
MMTEB: Massive Multilingual Text Embedding Benchmark—0
TOWER: Tree Organized Weighting for Evaluating Complex Instructions—0
MoDA: Modulation Adapter for Fine-Grained Visual Grounding in Instructional MLLMs—0
Zero-shot Task Adaptation using Natural Language—0
Modular Framework for Visuomotor Language Grounding—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