ICLR 2024PastLarge language modelsDatasets
ICLR 2024 Workshop on Navigating and Addressing Data Problems for Foundation Models
DPFM 2024
- Submission deadline
- Feb 13, 2024, 01:30 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (49)
Fetched from OpenReview (v2) on 2026-06-10.
A Tale of Tails: Model Collapse as a Change of Scaling Laws
AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent
Augmenting Math Word Problems via Iterative Question Composing
Autonomous Data Selection with Language Models for Mathematical Texts
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
CollabEdit: Towards Non-destructive Collaborative Knowledge Editing
Computational Copyright: Towards A Royalty Model for AI Music Generation Platforms
Cookbook: A framework for improving LLM generative abilities via programmatic data generating templates
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
Data Alignment for Zero-Shot Concept Generation in Dermatology AI
DELE: Data Efficient LLM Evaluation
Distributional Dataset Distillation with Subtask Decomposition
Does Data Contamination Make a Difference? Insights from Intentionally Contaminating Pre-training Data For Language Models
Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget
Efficient Global Data Attribution for Diffusion Models
Enhancing Data Quality in Federated Fine-Tuning of Large Language Models
Evaluating Large Language Models in an Emerging Domain: A Pilot Study in Decentralized Finance
Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems
Hallucination Augmented Recitations for Language Models
How to Craft Backdoors with Unlabeled Data Alone?
Improving Practical Counterfactual Fairness with Limited Causal Knowledge
Incentivizing Inclusive Data Contributions in Personalized Federated Learning
Intent-based Prompt Calibration: Enhancing prompt optimization with synthetic boundary cases
Label-free Neural Semantic Image Synthesis
LESS: Selecting Influential Data for Targeted Instruction Tuning
LongForm: Effective Instruction Tuning with Reverse Instructions
Model & Data Insights using Pre-trained Language Models
Multimodal Dataset Upgrading: a New Challenge for Data Annotation
ON THE SCALABILITY OF GNNS FOR MOLECULAR GRAPHS
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
Perplexed by Perplexity: Perplexity-Based Pruning with Small Reference Models
Pre-training Concept Frequency is predictive of CLIP Zero-shot Performance
Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines
Prompt Optimization with Logged Bandit Data
QuRating: Selecting High-Quality Data for Training Lanugage Models
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
Scaling Laws for Downstream Task Performance of Large Language Models
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models
The Science of Data Filtering: Data Curation cannot be Compute Agnostic
TOFU: A Task of Fictitious Unlearning for LLMs
Toward Data-driven Skill Identification for General-purpose Vision-language Models
Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL
VideoCon: Robust Video-Language Alignment via Contrast Captions
Virtual Classifier: A Reversed Approach for Robust Image Evaluation
West-of-N: Synthetic Preference Generation for Improved Reward Modeling
What's in Your "Safe" Data?: Identifying Benign Data that Breaks Safety