ICML 2024PastLarge language modelsAgentsSafety & alignment
Trustworthy Multi-modal Foundation Models and AI Agents (TiFA)
ICML 2024 TiFA Workshop
- Submission deadline
- May 31, 2024, 12:00 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (19)
Fetched from OpenReview (v2) on 2026-06-10.
Bias Begets Bias: the Impact of Biased Embeddings on Diffusion Models
Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data Scarcity
Can Editing LLMs Inject Harm?
Chained Tuning Leads to Biased Forgetting
Decomposed evaluations of geographic disparities in text-to-image models
Games for AI-Control: Models of Safety Evaluations of AI Deployment Protocols
MaPPing Your Model: Assessing the Impact of Adversarial Attacks on LLM-based Programming Assistants
Models That Prove Their Own Correctness
On the Difficulty of Faithful Chain-of-Thought Reasoning in Large Language Models
On the Multi-modal Vulnerability of Diffusion Models
Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models
Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques
TrustAgent: Towards Safe and Trustworthy LLM-based Agents through Agent Constitution
Unfamiliar Finetuning Examples Control How Language Models Hallucinate
VACoDe: Visual Augmented Contrastive Decoding
Video Watermarking: Safeguarding Your Video from (Unauthorized) Annotations by Video-based LLMs
Wasserstein Modality Alignment Makes Your Multimodal Transformer More Robust
WebCanvas: Benchmarking Web Agents in Online Environments
Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?