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 711–720 of 1135 papers

TitleStatusHype
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following—0
NPHardEval4V: A Dynamic Reasoning Benchmark of Multimodal Large Language ModelsCode1
AutoDefense: Multi-Agent LLM Defense against Jailbreak AttacksCode2
LAB: Large-Scale Alignment for ChatBotsCode5
Collaborative decoding of critical tokens for boosting factuality of large language models—0
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-TuningCode1
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse PlanningCode1
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation SystemsCode1
SongComposer: A Large Language Model for Lyric and Melody Generation in Song CompositionCode3
ShapeLLM: Universal 3D Object Understanding for Embodied InteractionCode3
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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