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 1126–1135 of 1135 papers

TitleStatusHype
LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model—0
LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation—0
clembench-2024: A Challenging, Dynamic, Complementary, Multilingual Benchmark and Underlying Flexible Framework for LLMs as Multi-Action Agents—0
Long Context Alignment with Short Instructions and Synthesized Positions—0
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models—0
ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation—0
LongViTU: Instruction Tuning for Long-Form Video Understanding—0
ToDi: Token-wise Distillation via Fine-Grained Divergence Control—0
ChEF: A Comprehensive Evaluation Framework for Standardized Assessment of Multimodal Large Language Models—0
LVLM-empowered Multi-modal Representation Learning for Visual Place Recognition—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