LLM-WikiRace: A Benchmark for Planning and Reasoning over Real-World Knowledge Graphs

Juliusz Ziomek, William Bankes, Lorenz Wolf, Shyam Sundhar Ramesh and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models

GDSD improves diffusion language models via advantage-guided denoiser self-distillation that bypasses ELBO likelihood surrogates, boosting test accuracy up to 19.6%.

Xiaohang Tang, Keyue Jiang, Che Liu, Zhao and 3 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026 · ▲ 4 on Hugging Face · Code ★ 22

Re-evaluating Confidence Remasking in Masked Diffusion Language Models

Post-hoc confidence remasking in masked diffusion language models offers little benefit under standard decoding and worsens diversity collapse under stochastic sampling, showing setting-dependent gains.

Stipe Frković, Metod Jazbec, Dan Zhang, Christian Andersson Naesseth and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026