Proposes InfoDelphi, a multi-agent forecasting framework using evidence partitioning, reducing error correlation by 12-18%.

Yuante Li, Yicheng Tao, Kate Zhang et al.

C3RL calibrates LLM confidence, while CAS matches majority-vote accuracy with up to 12.33× less sampling.

Xuqing Yang, Yi Yuan, Shanzhe Lei et al.

PMD method enhances language model performance by converting cross-episode signals into procedural memory, achieving 3.8-13.6% improvement.

Ye Liu, Srijan Bansal, Bo Pang et al.

CreativityNeuro enhances divergent thinking by contrastive weight steering, improving DAT performance by 14 percentile points.

Samuel Schapiro, Core Francisco Park, Felix Sosa et al.

Style-conditioned UVFAs with Cat-RAC enable runtime behavior control, validated across 57,000 Horizon Forbidden West battles.

Roberto Capobianco, Harm van Seijen, Nolan D. Bard et al.

SAGE employs Multi-Hypothesis Failure Attribution to boost autonomous research reliability from 42% to 92%.

Jie Ma, Binfei Chu, Jie Gao et al.

Embodied CAD integrates LLM planning with geometric solvers via a hierarchical skill library, enabling reliable parametric assembly modeling.

Fumin Liu, Haoyu Zhou, Fei Hao et al.

Delta-JEPA introduces a latent difference decoder to enhance action-sensitive world modeling, achieving over 89% planning success in continuous control tasks.

Zhenghao Zhang, Yuanxiang Wang, Zhenyu Guan et al.

RosettaSim employs structured autoregressive modeling with attention mechanisms and semantic retrieval, achieving state-of-the-art long-term traffic simulation with a correlation of r=0.83.

Lingyu Xiao, Zexin Feng, Xintao Yan

Proposes a faithfulness evaluation framework combining Lean compilation and semantic judging, revealing a 30% gap between compilation success and semantic accuracy on 400 statements.

Ke Zhang, Patricio Gallardo Candela, Sudhir Murthy et al.

Clarus introduces a project-agent-resource model with a four-layer architecture for traceable, open scientific collaboration at web scale.

Zihan Guo, Zeyi Chen, Zhiyu Chen et al.

FWS builds FaithfulQA from six VQA benchmarks; 60K faithful SFT raises RL accuracy and stabilizes visually grounded reasoning.

Peng, Lee, Yin Zhang et al.

SFBench is a benchmark dataset with 197 material science claims for evaluating scientific claim feasibility.

Cash Costello, James Mayfield, Elsbeth Turcan et al.

CogWM tracks user BDI/E states for cognitive evaluation of conversational agents, trained on 150K samples, outperforming baselines.

Minghui Ma, Bin Guo, Hao Wang et al.

Proposes a self-supervised theorem discovery algorithm, autonomously generating thousands of meaningful theorems within a formal axiomatic system, enhancing proof capabilities.

Kazuki Ota, Takayuki Osa, Tatsuya Harada

COMPASS uses shared token τc to connect composition recognition and generation, trained on 389,031 images and about 1.2M VQA pairs.

Ziqi Zhou, Weize Quan, Mining Tan et al.

Proposes SD-GPS framework using QwenVL3-2B for autoformalization and lemma proposing, achieving 86.4% accuracy on Geometry3K.

Can Li, Ting Zhang, Junbo Zhao et al.

ATOD combines annealed schedule and turn-level uncertainty weighting to boost multi-turn agent performance.

Qitai Tan, Zefang Zong, Mo Li et al.

BINEVAL decomposes evaluation into binary questions, enabling interpretable, multi-dimensional assessment with superior correlation to human judgments.

Sangwoo Cho, Kushal Chawla, Pengshan Cai et al.

JERP jointly updates experiential rule pool and policy, boosting decision accuracy in multi-step tasks.

Shicheng Ye, Chao Yu