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 331340 of 1135 papers

TitleStatusHype
Evaluating Large Language Models at Evaluating Instruction FollowingCode1
Hybrid Alignment Training for Large Language ModelsCode1
AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic ScenariosCode1
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question AnsweringCode1
Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual AwarenessCode1
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source DataCode1
ChartInstruct: Instruction Tuning for Chart Comprehension and ReasoningCode1
MoDS: Model-oriented Data Selection for Instruction TuningCode1
IDA-Bench: Evaluating LLMs on Interactive Guided Data AnalysisCode1
DocLens: Multi-aspect Fine-grained Evaluation for Medical Text GenerationCode1
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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