128 citations · 142 across the 8 of their papers we have counts for
8 papers
Palmyra x6 Technical Report: An Agentic, Tool-Use Model Post-Trained via Anchored Supervised Fine-Tuning
Peng Du, Kiran Kamble, Rakshith Vasudev +5
Palmyra x6 is a large language model optimized for use with enterprise-oriented agentic tasks. The model was built by post-training a Mixture-of-Experts base model with Anchored Su…
MobileBench-OL: A Comprehensive Chinese Benchmark for Evaluating Mobile GUI Agents in Real-World Environment
Qinzhuo Wu, Zhizhuo Yang, Hanhao Li +3
Recent advances in mobile Graphical User Interface (GUI) agents highlight the growing need for comprehensive evaluation benchmarks. While new online benchmarks offer more realistic…
Proof2Hybrid: Automatic Mathematical Benchmark Synthesis for Proof-Centric Problems
Yebo Peng, Yaoming Li, Zixiang Liu +6
Evaluating the mathematical capability of Large Language Models (LLMs) is a critical yet challenging frontier. Existing benchmarks fall short, particularly for proof-centric proble…
ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection
Jiaqi Li, Xinyi Dong, Yang Liu +6
We present a novel pipeline, ReflectEvo, to demonstrate that small language models (SLMs) can enhance meta introspection through reflection learning. This process iteratively gener…
R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models
Viet Dung Nguyen, Zhizhuo Yang, Christopher L. Buckley +1
Although research has produced promising results demonstrating the utility of active inference (AIF) in Markov decision processes (MDPs), there is relatively less work that builds…
A Neural Active Inference Model of Perceptual-Motor Learning
Zhizhuo Yang, Gabriel J. Diaz, Brett R. Fajen +2
The active inference framework (AIF) is a promising new computational framework grounded in contemporary neuroscience that can produce human-like behavior through reward-based lear…
RIT-Eyes: Rendering of near-eye images for eye-tracking applications
Nitinraj Nair, Rakshit Kothari, Aayush K. Chaudhary +4
Deep neural networks for video-based eye tracking have demonstrated resilience to noisy environments, stray reflections, and low resolution. However, to train these networks, a lar…
Gaze-in-wild: A dataset for studying eye and head coordination in everyday activities
Rakshit Kothari, Zhizhuo Yang, Christopher Kanan +3
The interaction between the vestibular and ocular system has primarily been studied in controlled environments. Consequently, off-the shelf tools for categorization of gaze events…