Papers
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data
Zifan Song, Yudong Wang, Wenwei Zhang et al.
Bridge the Modality and Capability Gaps in Vision-Language Model Selection
Chao Yi, Yu-Hang He, De-Chuan Zhan et al.
What is my quantum computer good for? Quantum capability learning with physics-aware neural networks
Daniel Hothem, Ashe Miller, Timothy Proctor
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
Jiawei Zhang, Jiaxin Zhuang, Cheng Jin et al.
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability
Chenyu Zheng, Wei Huang, Rongzhen Wang et al.
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
Jinliang Deng, Feiyang Ye, Du Yin et al.
Stress-Testing Capability Elicitation With Password-Locked Models
Ryan Greenblatt, Fabien Roger, Dmitrii Krasheninnikov et al.
ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models
Shuo Liu, Kaining Ying, Hao Zhang et al.
ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models
Siwei Wang, Yifei Shen, Shi Feng et al.
Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations
Changqing Qiu, Fusheng Jin, Yining Zhang
HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks
Hai Zhang, Chunwei Wu, Guitao Cao et al.
FOFO: A Benchmark to Evaluate LLMs’ Format-Following Capability
Congying Xia, Chen Xing, Jiangshu Du et al.
Evaluating Intention Detection Capability of Large Language Models in Persuasive Dialogues
Hiromasa Sakurai, Yusuke Miyao
Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models
Yuyan Chen, Chenwei Wu, Songzhou Yan et al.
SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models
Md Imbesat Rizvi, Xiaodan Zhu, Iryna Gurevych
T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step
Zehui Chen, Weihua Du, Wenwei Zhang et al.
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin
Tianshuo Zhou, Sen Mei, Xinze Li et al.
OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety
Chuang Liu, Linhao Yu, Jiaxuan Li et al.
Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
Yuyan Chen, Yueze Li, Songzhou Yan et al.
DebugBench: Evaluating Debugging Capability of Large Language Models
Runchu Tian, Yining Ye, Yujia Qin et al.
PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs
Jiuzhou Han, Nigel Collier, Wray Buntine et al.
LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback
Wen Lai, Mohsen Mesgar, Alexander Fraser
Analyzing Large Language Models’ Capability in Location Prediction
Zhaomin Xiao, Yan Huang, Eduardo Blanco
EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models
Sijie Cheng, Zhicheng Guo, Jingwen Wu et al.