We have 4 of 20 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Structured prediction tasks pose unique challenges for in-context learning (ICL): their compositional outputs require modeling fine-grained, token-level patterns that sentence-level approaches fail to capture, and their task-specific annotation conventions are human-defined artifacts that cannot be acquired through pre...
Three new vision-centric evaluation benchmarks in temporal frame retrieval, video future prediction, and causal memory distortion are introduced, all designed around evaluating visual understanding capabilities in large video models, which complements the existing approaches to evaluate video understanding in frontier...
This work introduces PrimeScientist, which jointly determines research direction and resource investment across successive research attempts, and proposes an adaptive MCTS-based allocation policy that balances exploration and exploitation using experimental feedback and remaining resources.
Agent-as-Peer-Debriefer is proposed, a multi-agent QDA framework that builds peer debriefing into key coding steps and suggests that simulating peer debriefing with explicit perspectives is a promising route to more credible LLM-assisted QDA.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
