When Users Change Their Minds: Measuring and Repairing Intent Drift in LLM Agents
Paper • 2609.32520 • Published • 20
Dylan
Dylannnnnnnn
AI & ML interests
None yet
Recent Activity
upvoted a paper 5 days ago
When Users Change Their Minds: Measuring and Repairing Intent Drift in LLM AgentsOrganizations
None yet
upvoted 2
papers 5 days ago
upvoted 3
papers 2 months ago
The Personalization Mirage: How LLMs Fabricate User Profiles, and Why Self-Monitoring Misleads
Paper • 2608.04570 • Published • 41
When Memory Lies: An Empirical Study of Spatial Memory Staleness in VLM Agents
Paper • 2608.04574 • Published • 16
Fewer Clarifications, Better Code: Benchmarking Cross-Session Personalized Ambiguity Adaptation in Coding Assistants
Paper • 2607.26611 • Published • 33
upvoted a paper 3 months ago
liked a
dataset 4 months ago
upvoted 3
papers 5 months ago
MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models
Paper • 2605.14906 • Published • 78
STALE: Can LLM Agents Know When Their Memories Are No Longer Valid?
Paper • 2605.06527 • Published • 48
Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context
Paper • 2605.13831 • Published • 90