Proposed Exp-RSFT method uses exponential reward weighting to enhance recommender systems' ranking performance.

Keertana Chidambaram, Sanath Kumar Krishnamurthy, Qiuling Xu et al.

OoO-Spec employs asynchronous semantic speculation, achieving up to 5.34× speedup in tool calls with a single trained sidecar model.

Zhiheng Zhang, Mujie Xu, Feiyu Sun et al.

Ledger provides explicit execution state, boosting Pass@1 to 64.2% and reducing costs by 28.9% in long-horizon coding agents.

Zehao Wang, Yisen Xu, Chenglin Li et al.

AgentSLABench is a resource-aware evaluation framework for autonomous AI agents, integrating correctness with latency, cost, memory, and network metrics.

Meher Bhaskar Madiraju, Meher Sai Preetam Madiraju

AIMold automates complex mold design using the MoldCAD dataset with 4,934 CAD models.

Pengyun Qiu, Shuo Wang, Zeyuan Chen et al.

Proposed FinDeepIndicator benchmark evaluates deep research agents' four-stage end-to-end financial indicator construction, revealing significant gaps in data retrieval and numerical execution.

Chaoqun Yang, Fengbin Zhu, Xinyu Lin et al.

Strict institution-held-out testing found Beta-Binomial EB and target-only logistic regression best, with Brier scores of 0.0853 and 0.0855.

Pengyang Yu, Yiou Wang, Zhongping Dong et al.

Experience-Calibrated Contrastive Decoding (ECCD) reduces speech hallucinations, lowering WER/CER by up to 55.6%.

Chenlin Liu, Minghui Fang, Zhonghao Bi et al.

Proposes DGA₂D, a directed graph-guided framework for automated algorithm design, reducing normalized gaps by up to 10.96 percentage points across 12 COPs.

Jiale Zhao, Zimu Chen, Sirui Mao et al.

Proposed ID-Constraint enhances monocular depth estimation robustness against camera roll variations, improving accuracy by 0.02-0.03 in AbsRel across datasets.

Kaihua Tang, Ziqing Xia, Xiaoxu Zheng et al.

GARDRec enhances LLM recommendation with graph structure, significantly improving candidate ranking accuracy.

Yong Wang, Hongliang Sun, Jinlan Liu et al.

Proposes TEngineDB-V, integrating large-k vector search into OLAP via relational tables, achieving up to 145× speedup.

Xufei Wu, Pengcheng Zhang, Yitong Song et al.

MDGAM framework improves task completion by 4.13% using GRMAPG algorithm.

Licheng Wang, Mingtao Huang, Yuan Shen

P2Voxel achieves efficient 3D mesh reconstruction via pyramid pivot voxelization, reducing storage significantly.

Zhenhong Sun, Haozhe Liu, Yifu Wang et al.

Video generators struggle with irreversible processes; proposed progress and stasis rate protocol for evaluation.

Jian Xu, Yanning Wu, Delu Zeng et al.

Introduces FD-loss post-training using Fréchet distance in feature space to improve autoregressive image generation, reducing FID by 41.4%.

Jinhua Zhang, Yisong Lin, Wei Long et al.

AdaMTP uses entropy-based boundary detection and dynamic masking to improve multi-token prediction accuracy and speed.

Ziqiang Cui, Han Shi, Bowei He et al.

Agentic Bayesian Optimization via Sara excels in dynamic settings, surpassing traditional methods.

Paul Brunzema, Louis Tiao, Nhat Le et al.

Introduces φ-Bench, a benchmark with 505 AI-assisted file system tasks, evaluating multiple LLMs' performance and failure modes.

Yuqi Xue, Daixuan Li, Jian Huang

Proposed geometric self-supervised pretraining enhances neural TSP solvers, achieving 7.23% tour length improvement on large-scale instances.

David Aguado, Daniel Fuertes, Carlos R. del-Blanco et al.