[Paper] On the 'Induction Bias' in Sequence Models
Despite the remarkable practical success of transformer-based language models, recent work has raised concerns about their ability to perform state tracking. In...
Despite the remarkable practical success of transformer-based language models, recent work has raised concerns about their ability to perform state tracking. In...
We present the first motion generation system for playtesting virtual reality (VR) games. Our player model generates VR headset and handheld controller movement...
Recent advances in deep learning, exemplified by Hyper-Connections (HC), have expanded the residual connection paradigm by introducing wider residual streams an...
Large language models have achieved striking results in interactive theorem proving, particularly in Lean. However, most benchmarks for LLM-based proof automati...
markdown February 20, 2026 - Research/news/research/ - Conclusion/research/index/conclusion/ Our First Proof Submissions We’re sharing our proof attempts for Fi...
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Large language models (LLMs) are increasingly used to automate scientific workflows, yet their integration with heterogeneous computational tools remains ad hoc...
Diffusion Language Models (DLMs) incur high inference cost due to iterative denoising, motivating efficient pruning. Existing pruning heuristics largely inherit...
HIPE-2026 is a CLEF evaluation lab dedicated to person-place relation extraction from noisy, multilingual historical texts. Building on the HIPE-2020 and HIPE-2...
Reward modeling is a core component of modern alignment pipelines including RLHF and RLAIF, underpinning policy optimization methods including PPO and TRPO. How...