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 651–675 of 1135 papers

TitleStatusHype
Modular Networks for Compositional Instruction Following—0
Can Large Language Models Understand Symbolic Graphics Programs?—0
Traffic Sign Interpretation in Real Road Scene—0
CamelEval: Advancing Culturally Aligned Arabic Language Models and Benchmarks—0
Training an LLM-as-a-Judge Model: Pipeline, Insights, and Practical Lessons—0
CorNav: Autonomous Agent with Self-Corrected Planning for Zero-Shot Vision-and-Language Navigation—0
MrSteve: Instruction-Following Agents in Minecraft with What-Where-When Memory—0
MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following—0
CachePrune: Neural-Based Attribution Defense Against Indirect Prompt Injection Attacks—0
Multi-Level Aware Preference Learning: Enhancing RLHF for Complex Multi-Instruction Tasks—0
Multilingual Coarse Political Stance Classification of Media. The Editorial Line of a ChatGPT and Bard Newspaper—0
Multi-lingual Functional Evaluation for Large Language Models—0
Multilingual Instruction Tuning With Just a Pinch of Multilinguality—0
Multilingual Multimodal Software Developer for Code Generation—0
Bridging Offline and Online Reinforcement Learning for LLMs—0
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis—0
Transformer-based Causal Language Models Perform Clustering—0
Multimodal Sequential Generative Models for Semi-Supervised Language Instruction Following—0
Multimodal Situational Safety—0
Multimodal Web Navigation with Instruction-Finetuned Foundation Models—0
Multi-Query Focused Disaster Summarization via Instruction-Based Prompting—0
Multi-Reward as Condition for Instruction-based Image Editing—0
Multi-Task Instruction Tuning of LLaMa for Specific Scenarios: A Preliminary Study on Writing Assistance—0
Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers—0
Nadine: An LLM-driven Intelligent Social Robot with Affective Capabilities and Human-like Memory—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