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

Showing 701725 of 1135 papers

TitleStatusHype
Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal ModelsCode1
Online Continual Learning For Interactive Instruction Following AgentsCode1
DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation0
Aligners: Decoupling LLMs and AlignmentCode0
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning0
Learning to Decode Collaboratively with Multiple Language ModelsCode2
IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code GeneratorsCode1
KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions0
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in ClassificationCode0
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following0
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following0
NPHardEval4V: A Dynamic Reasoning Benchmark of Multimodal Large Language ModelsCode1
AutoDefense: Multi-Agent LLM Defense against Jailbreak AttacksCode2
LAB: Large-Scale Alignment for ChatBotsCode5
Collaborative decoding of critical tokens for boosting factuality of large language models0
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-TuningCode1
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse PlanningCode1
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation SystemsCode1
SongComposer: A Large Language Model for Lyric and Melody Generation in Song CompositionCode3
ShapeLLM: Universal 3D Object Understanding for Embodied InteractionCode3
Long-Context Language Modeling with Parallel Context EncodingCode2
Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding0
Defending Large Language Models against Jailbreak Attacks via Semantic SmoothingCode1
GraphWiz: An Instruction-Following Language Model for Graph ProblemsCode2
NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88Unverified
3GPT-4Inst-level loose-accuracy85.37Unverified
4PaLM 2 SInst-level loose-accuracy59.11Unverified