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 231–240 of 1135 papers

TitleStatusHype
E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection—0
IHEval: Evaluating Language Models on Following the Instruction HierarchyCode1
BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language ModelsCode1
Who Taught You That? Tracing Teachers in Model Distillation—0
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following—0
Hypencoder: Hypernetworks for Information Retrieval—0
M-IFEval: Multilingual Instruction-Following EvaluationCode1
Verifiable Format Control for Large Language Model Generations—0
UltraIF: Advancing Instruction Following from the WildCode1
LLMs can be easily Confused by Instructional Distractions—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