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Structured pruning of self-distilled reasoning traces reduces token use while largely preserving accuracy in low-data fine-tuning.

Sep 1, 2026 • 1 min read

Evaluation suite for diverse multitask multimodal generation with large multimodal models.

Aug 1, 2026 • 1 min read

Reinforcement learning for agentic VQA that balances clarification and answering under underspecified context.

Aug 1, 2026 • 1 min read

Uncertainty-aware data mixture optimization for multimodal LLM midtraining via interpretable domain decomposition.

Mar 2, 2026 • 1 min read

Benchmarking dark pattern susceptibility of computer-use agents in realistic UI environments.

Jan 1, 2026 • 1 min read

Context-driven clarification strategies for ambiguous VQA in a reasoning-focused NeurIPS workshop.

Dec 1, 2025 • 1 min read

Benchmarking LVLM robustness to spurious correlations and studying generalization beyond the SpuriVerse.

Sep 1, 2025 • 1 min read

A modular abstention framework for reliable expert LLMs that enables selective abstention from uncertain questions.

Jul 1, 2025 • 1 min read

Exploring psychological insights to address overconfidence in LLMs by comparing with human confidence patterns.

May 1, 2025 • 1 min read

Automatic prediction of compute-optimal data composition for efficient LLM training.

May 1, 2025 • 1 min read