LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey (2026 · 12 citations)
Fully autonomous LLM agents remain hard to trust in practice. They hallucinate, especially across chained actions. They also falter on long, expertise-heavy tasks and raise safety, bias and accountability concerns in areas such as finance or healthcare. This survey argues for keeping people in the loop and gives what…
d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models (2026 · 3 citations)
Reinforcement learning for diffusion large language models (dLLMs) has two weak spots. Rewards are usually sparse outcome scores or unverified process signals, and per-token log-probabilities are approximated without accounting for the expectation over all possible decoding orders. d-TreeRPO addresses both. It…

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Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 7 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 31 October 2026