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 901–950 of 1135 papers

TitleStatusHype
Unveiling the Misuse Potential of Base Large Language Models via In-Context Learning—0
Sketch-Plan-Generalize: Learning and Planning with Neuro-Symbolic Programmatic Representations for Inductive Spatial Concepts—0
CodecLM: Aligning Language Models with Tailored Synthetic Data—0
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs—0
Teaching Llama a New Language Through Cross-Lingual Knowledge TransferCode0
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues—0
An Incomplete Loop: Deductive, Inductive, and Abductive Learning in Large Language Models—0
HyperCLOVA X Technical Report—0
Token-Efficient Leverage Learning in Large Language ModelsCode0
LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction—0
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language ReasoningCode0
CoDa: Constrained Generation based Data Augmentation for Low-Resource NLPCode0
Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks—0
Plug-and-Play Grounding of Reasoning in Multimodal Large Language Models—0
InstUPR : Instruction-based Unsupervised Passage Reranking with Large Language ModelsCode0
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation—0
WangchanLion and WangchanX MRC EvalCode0
Argument Quality Assessment in the Age of Instruction-Following Large Language Models—0
Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning—0
Improving the Robustness of Large Language Models via Consistency Alignment—0
Building Accurate Translation-Tailored LLMs with Language Aware Instruction TuningCode0
VisualCritic: Making LMMs Perceive Visual Quality Like Humans—0
WoLF: Wide-scope Large Language Model Framework for CXR Understanding—0
Third-Party Language Model Performance Prediction from InstructionCode0
Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning—0
Mitigating Dialogue Hallucination for Large Vision Language Models via Adversarial Instruction Tuning—0
DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation—0
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning—0
Aligners: Decoupling LLMs and AlignmentCode0
KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions—0
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 Following—0
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following—0
Collaborative decoding of critical tokens for boosting factuality of large language models—0
Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding—0
NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation—0
Towards Robust Instruction Tuning on Multimodal Large Language ModelsCode0
Zero-shot cross-lingual transfer in instruction tuning of large language models—0
Unintended Impacts of LLM Alignment on Global RepresentationCode0
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking—0
RefuteBench: Evaluating Refuting Instruction-Following for Large Language ModelsCode0
VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models—0
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?—0
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models—0
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models—0
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional AnalysisCode0
Transformer-based Causal Language Models Perform Clustering—0
Aligning Large Language Models by On-Policy Self-JudgmentCode0
AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility EstimationCode0
Efficient Prompt Optimization Through the Lens of Best Arm Identification—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