- MoEMba: A Mamba-based Mixture of Experts for High-Density EMG-based Hand Gesture Recognition
Mehran Shabanpour, Kasra Rad, Sadaf Khademi, Arash Mohammadi · Feb 9, 2025 · Citations: 0
High-Density surface Electromyography (HDsEMG) has emerged as a pivotal resource for Human-Computer Interaction (HCI), offering direct insights into muscle activities and motion intentions.
- Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning
Manh Luong, Khai Nguyen, Dinh Phung, Gholamreza Haffari, Lizhen Qu · Feb 8, 2025 · Citations: 0
Our kernel also improves the reasoning accuracy of the MMAU-test-mini benchmarks by 4\%.
- Oracular Programming: A Modular Foundation for Building LLM-Enabled Software
Jonathan Laurent, André Platzer · Feb 7, 2025 · Citations: 0
Demonstrations Web Browsing
We propose oracular programming: a foundational paradigm for integrating traditional, explicit computations with inductive oracles such as LLMs.
- vCache: Verified Semantic Prompt Caching
Luis Gaspar Schroeder, Aditya Desai, Alejandro Cuadron, Kyle Chu, Shu Liu · Feb 6, 2025 · Citations: 0
We release the vCache implementation and four benchmarks to support future research.
- AStar: Boosting Multimodal Reasoning with Automated Structured Thinking
Jinyang Wu, Mingkuan Feng, Guocheng Zhai, Shuai Zhang, Zheng Lian · Feb 4, 2025 · Citations: 0
- Dual-IPO: Dual-Iterative Preference Optimization for Text-to-Video Generation
Xiaomeng Yang, Mengping Yang, Jia Gong, Luozheng Qin, Zhiyu Tan · Feb 4, 2025 · Citations: 0
Pairwise Preference
However, they usually fail to produce satisfactory outputs that are aligned to users' authentic demands and preferences.
- FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data
Ankur Sinha, Chaitanya Agarwal, Pekka Malo · Feb 4, 2025 · Citations: 0
- VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
Zelai Xu, Ruize Zhang, Chao Yu, Huining Yuan, Xiangmin Yi · Feb 4, 2025 · Citations: 0
Demonstrations Multi Agent
We provide a comprehensive suite of tasks ranging from single-drone drills to multi-drone cooperative and competitive tasks, accompanied by baseline evaluations of representative reinforcement learning (RL), multi-agent reinforcement…
- Preference Leakage: A Contamination Problem in LLM-as-a-judge
Dawei Li, Renliang Sun, Yue Huang, Ming Zhong, Bohan Jiang · Feb 3, 2025 · Citations: 0
- Intrinsic Entropy of Context Length Scaling in LLMs
Jingzhe Shi, Qinwei Ma, Hongyi Liu, Hang Zhao, Jeng-Neng Hwang · Feb 3, 2025 · Citations: 0
Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
- Polynomial, trigonometric, and tropical activations
Ismail Khalfaoui-Hassani, Stefan Kesselheim · Feb 3, 2025 · Citations: 0
- FastKV: Decoupling of Context Reduction and KV Cache Compression for Prefill-Decoding Acceleration
Dongwon Jo, Jiwon Song, Yulhwa Kim, Jae-Joon Kim · Feb 3, 2025 · Citations: 0
Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
- Should You Use Your Large Language Model to Explore or Exploit?
Keegan Harris, Aleksandrs Slivkins · Jan 31, 2025 · Citations: 0
Tool Use
We evaluate the ability of the current generation of large language models (LLMs) to help a decision-making agent facing an exploration-exploitation tradeoff.
- Evaluating Spoken Language as a Biomarker for Automated Screening of Cognitive Impairment
Maria R. Lima, Alexander Capstick, Fatemeh Geranmayeh, Ramin Nilforooshan, Maja Matarić · Jan 30, 2025 · Citations: 0
We evaluate explainable ML for screening of Alzheimer's disease and related dementias (ADRD) and severity prediction using benchmark DementiaBank speech (N = 291, 64% female, 69.8 (SD = 8.6) years).
- Dialogue is Better Than Monologue: Instructing Medical LLMs via Strategical Conversations
Zijie Liu, Xinyu Zhao, Jie Peng, Zhuangdi Zhu, Qingyu Chen · Jan 29, 2025 · Citations: 0
These tuning methods and benchmarks overlook critical aspects like evidence-based reasoning and handling distracting information.
- Safe Reinforcement Learning for Real-World Engine Control
Julian Bedei, Lucas Koch, Kevin Badalian, Alexander Winkler, Patrick Schaber · Jan 28, 2025 · Citations: 0
This work introduces a toolchain for applying Reinforcement Learning (RL), specifically the Deep Deterministic Policy Gradient (DDPG) algorithm, in safety-critical real-world environments.
- CowPilot: A Framework for Autonomous and Human-Agent Collaborative Web Navigation
Faria Huq, Zora Zhiruo Wang, Frank F. Xu, Tianyue Ou, Shuyan Zhou · Jan 28, 2025 · Citations: 0
Pairwise PreferenceDemonstrations Web Browsing
We propose CowPilot, a framework supporting autonomous as well as human-agent collaborative web navigation, and evaluation across task success and task efficiency.
- Object-Centric World Models from Few-Shot Annotations for Sample-Efficient Reinforcement Learning
Weipu Zhang, Adam Jelley, Trevor McInroe, Amos Storkey, Gang Wang · Jan 27, 2025 · Citations: 0
Empirical results demonstrate that OC-STORM significantly outperforms the STORM baseline on the Atari 100k benchmark and achieves state-of-the-art sample efficiency on challenging boss fights in the visually complex game Hollow Knight.
