Summary of Depth Any Video with Scalable Synthetic Data, by Honghui Yang et al.
Depth Any Video with Scalable Synthetic Databy Honghui Yang, Di Huang, Wei Yin, Chunhua Shen,…
Depth Any Video with Scalable Synthetic Databy Honghui Yang, Di Huang, Wei Yin, Chunhua Shen,…
TMGBench: A Systematic Game Benchmark for Evaluating Strategic Reasoning Abilities of LLMsby Haochuan Wang, Xiachong…
Increasing the Difficulty of Automatically Generated Questions via Reinforcement Learning with Synthetic Preferenceby William Thorne,…
MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Codeby Zimu Lu, Aojun Zhou,…
On the Modeling Capabilities of Large Language Models for Sequential Decision Makingby Martin Klissarov, Devon…
Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agentsby Boyu Gou,…
Take It Easy: Label-Adaptive Self-Rationalization for Fact Verification and Explanation Generationby Jing Yang, Anderson RochaFirst…
Scaling Parameter-Constrained Language Models with Quality Databy Ernie Chang, Matteo Paltenghi, Yang Li, Pin-Jie Lin,…
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filteringby Jiacong Wang, Bohong…
CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Modelsby Eitan Wagner, Yuli…