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 176–200 of 1135 papers

TitleStatusHype
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuningCode2
Archon: An Architecture Search Framework for Inference-Time TechniquesCode2
EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerceCode2
Lion: Adversarial Distillation of Proprietary Large Language ModelsCode2
Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You WantCode2
Dual-Space Knowledge Distillation for Large Language ModelsCode2
CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language ModelCode2
DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil EngineeringCode2
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning AbilitiesCode2
BuboGPT: Enabling Visual Grounding in Multi-Modal LLMsCode2
EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing DomainCode2
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-ExpertsCode2
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LunchCode2
Learning to Decode Collaboratively with Multiple Language ModelsCode2
GeoChat: Grounded Large Vision-Language Model for Remote SensingCode2
MiniLLM: Knowledge Distillation of Large Language ModelsCode2
Direct Preference Optimization of Video Large Multimodal Models from Language Model RewardCode2
DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMsCode2
Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language ModelsCode2
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction FollowingCode2
DeSTA2: Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning DataCode2
Rank1: Test-Time Compute for Reranking in Information RetrievalCode2
BLSP-Emo: Towards Empathetic Large Speech-Language ModelsCode2
Large Language Model Instruction Following: A Survey of Progresses and ChallengesCode2
GraphWiz: An Instruction-Following Language Model for Graph ProblemsCode2
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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