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 311–320 of 1135 papers

TitleStatusHype
LLMs for Generalizable Language-Conditioned Policy Learning under Minimal Data Requirements—0
Sloth: scaling laws for LLM skills to predict multi-benchmark performance across familiesCode0
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language ModelsCode1
GROOT-2: Weakly Supervised Multi-Modal Instruction Following Agents—0
Compositional Image Retrieval via Instruction-Aware Contrastive LearningCode0
RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of ExpertsCode1
EXAONE 3.5: Series of Large Language Models for Real-world Use Cases—0
LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs—0
If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs—0
VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding—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