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

Showing 551560 of 1135 papers

TitleStatusHype
MIMO: A Medical Vision Language Model with Visual Referring Multimodal Input and Pixel Grounding Multimodal OutputCode0
Chasing Ghosts: Instruction Following as Bayesian State TrackingCode0
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling EvaluatorsCode0
AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility EstimationCode0
MDCure: A Scalable Pipeline for Multi-Document Instruction-FollowingCode0
CASTILLO: Characterizing Response Length Distributions of Large Language ModelsCode0
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum LearningCode0
Mapping Instructions to Actions in 3D Environments with Visual Goal PredictionCode0
Empowering Cross-lingual Abilities of Instruction-tuned Large Language Models by Translation-following demonstrationsCode0
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation PredictionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88Unverified
3GPT-4Inst-level loose-accuracy85.37Unverified
4PaLM 2 SInst-level loose-accuracy59.11Unverified