Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Cao, Lele"'
Autor:
An, Kaikai, Yang, Fangkai, Li, Liqun, Lu, Junting, Cheng, Sitao, Wang, Lu, Zhao, Pu, Cao, Lele, Lin, Qingwei, Rajmohan, Saravan, Zhang, Dongmei, Zhang, Qi
Current question answering systems leveraging retrieval augmented generation perform well in answering factoid questions but face challenges with non-factoid questions, particularly how-to queries requiring detailed step-by-step instructions and expl
Externí odkaz:
http://arxiv.org/abs/2406.13372
Tabular synthesis models remain ineffective at capturing complex dependencies, and the quality of synthetic data is still insufficient for comprehensive downstream tasks, such as prediction under distribution shifts, automated decision-making, and cr
Externí odkaz:
http://arxiv.org/abs/2406.08311
Autor:
Senane, Zineb, Cao, Lele, Buchner, Valentin Leonhard, Tashiro, Yusuke, You, Lei, Herman, Pawel, Nordahl, Mats, Tu, Ruibo, von Ehrenheim, Vilhelm
Time Series Representation Learning (TSRL) focuses on generating informative representations for various Time Series (TS) modeling tasks. Traditional Self-Supervised Learning (SSL) methods in TSRL fall into four main categories: reconstructive, adver
Externí odkaz:
http://arxiv.org/abs/2405.05959
Multimodal Large Language Models (MLLMs) are typically assessed using expensive annotated multimodal benchmarks, which often lag behind the rapidly evolving demands of MLLM evaluation. This paper outlines and validates GenCeption, a novel, annotation
Externí odkaz:
http://arxiv.org/abs/2402.14973
Counterfactual explanations (CE) are the de facto method of providing insight and interpretability in black-box decision-making models by identifying alternative input instances that lead to different outcomes. This paper extends the concept of CE to
Externí odkaz:
http://arxiv.org/abs/2401.13112
As humans, we hear sound every second of our life. The sound we hear is often affected by the acoustics of the environment surrounding us. For example, a spacious hall leads to more reverberation. Room Impulse Responses (RIR) are commonly used to cha
Externí odkaz:
http://arxiv.org/abs/2310.05368
This paper addresses the growing application of data-driven approaches within the Private Equity (PE) industry, particularly in sourcing investment targets (i.e., companies) for Venture Capital (VC) and Growth Capital (GC). We present a comprehensive
Externí odkaz:
http://arxiv.org/abs/2309.16888
Prompt Tuning is emerging as a scalable and cost-effective method to fine-tune Pretrained Language Models (PLMs), which are often referred to as Large Language Models (LLMs). This study benchmarks the performance and computational efficiency of Promp
Externí odkaz:
http://arxiv.org/abs/2309.12075
Autor:
Cao, Lele, von Ehrenheim, Vilhelm, Granroth-Wilding, Mark, Stahl, Richard Anselmo, McCornack, Andrew, Catovic, Armin, Rocha, Dhiana Deva Cavacanti
In the investment industry, it is often essential to carry out fine-grained company similarity quantification for a range of purposes, including market mapping, competitor analysis, and mergers and acquisitions. We propose and publish a knowledge gra
Externí odkaz:
http://arxiv.org/abs/2306.10649
Autor:
Cao, Lele, von Ehrenheim, Vilhelm, Berghult, Astrid, Henje, Cecilia, Stahl, Richard Anselmo, Wandborg, Joar, Stan, Sebastian, Catovic, Armin, Ferm, Erik, Ingelhag, Hannes
The Private Equity (PE) firms operate investment funds by acquiring and managing companies to achieve a high return upon selling. Many PE funds are thematic, meaning investment professionals aim to identify trends by covering as many industry sectors
Externí odkaz:
http://arxiv.org/abs/2306.03313