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 751–775 of 1135 papers

TitleStatusHype
TIIF-Bench: How Does Your T2I Model Follow Your Instructions?—0
Towards LLM-guided Causal Explainability for Black-box Text Classifiers—0
LLMs can be easily Confused by Instructional Distractions—0
LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints—0
LLMs for Generalizable Language-Conditioned Policy Learning under Minimal Data Requirements—0
CMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Following—0
Closed-Loop Open-Vocabulary Mobile Manipulation with GPT-4V—0
CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation—0
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
A Framework for Fine-Tuning LLMs using Heterogeneous Feedback—0
M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation—0
Magistral—0
Active Reasoning in an Open-World Environment—0
ManipDreamer: Boosting Robotic Manipulation World Model with Action Tree and Visual Guidance—0
ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models—0
ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning—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