arXiv:2509.03647v2 Announce Type: replace-cross
Abstract: Large language models (LLMs) increasingly serve as automated evaluators, yet they suffer from “self-preference bias”: a tendency to favor…
arXiv:2606.24797v1 Announce Type: cross
Abstract: Recent advances in Video Large Language Models (Video-LLMs) have yielded promising performance on video question answering (VideoQA). Nevertheless,…
arXiv:2606.23740v1 Announce Type: new
Abstract: Offline reinforcement-learning losses (RFT, RIFT, DFT, Offline GRPO, DPO) are widely used to distill reasoning from large teachers into smaller…
arXiv:2602.14612v4 Announce Type: replace-cross
Abstract: Answering natural-language questions over multi-hour audio requires both event recognition and temporal grounding. Current large…
arXiv:2606.11552v2 Announce Type: replace-cross
Abstract: Large language models (LLMs) achieve remarkable performance across a wide range of tasks, but their autoregressive decoding process incurs…
arXiv:2606.22837v1 Announce Type: cross
Abstract: Sensors are critical components of modern intelligent devices. The proliferation of the Internet of Things (IoT) and wearable mobile devices has…
arXiv:2606.18429v2 Announce Type: replace-cross
Abstract: Accurately aligning CAD models to their corresponding objects in indoor RGB-D scans is a central challenge in 3D semantic reconstruction….
arXiv:2606.22536v1 Announce Type: cross
Abstract: Classical uncertainty sets for robust optimisation impose fixed geometric shapes that cannot represent the complex dependencies present in…
arXiv:2606.23155v1 Announce Type: cross
Abstract: Mean field games efficiently approximate a very large population of strategic agents. While these games can aid the understanding of complex…
arXiv:2606.22159v1 Announce Type: cross
Abstract: Spacecraft operations scheduling is a highly constrained, long-horizon combinatorial optimization problem that traditionally relies on heuristics,…