…The idea of using trace tournaments to extract gradients when verifiable rewards are uninformative is pretty clever. It makes a lot of sense to pivot to relative rankings instead of just letting…
…The main idea is to create a closed training loop where an Instructor generates increasingly challenging instructions, a Filter removes low-quality or conflicting ones, a Follower learns to follow them, and…
…https://abot-earth.amap.com/ Interesting! Nice work! This comment has been hidden This is an automated message from the Librarian Bot . I found the following papers similar to this paper. The…
…The key idea is simple: instead of passively waiting for user tasks, agents can actively prepare through controlled, environment-grounded practice. Across AppWorld, BFCL v3, and MCP-Universe, Preping improves over no…
…The idea of using Spectral Forcing to explicitly handle the signal-to-noise frequency split rather than letting the denoiser figure it out on its own is pretty clever. It makes a…
…The idea of shifting from black-box alignment to explicit visual self-recovery for MLLMs makes a lot of sense, especially since we usually just accept that corrupted inputs lead to worse…
…when we sample multiple LLM responses at test time, are we really getting diverse reasoning paths, or just different surface forms of the same idea? To address this, we propose Exploratory Sampling…
…This is an automated message from the Librarian Bot . I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API Spec Kit Agents: Context…
…This is an automated message from the Librarian Bot . I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API TurboTalk: Progressive Distillation for…
…Key idea Harness-1 separates these responsibilities. The policy still makes the semantic decisions: what to search, what to inspect, what to curate, what to verify, and when to stop. But the…