Pretraining Large Language Models (LLMs) on large corpora of textual data is now a standard paradigm. When using these LLMs for many downstream applications, it is common to additionally bake in new knowledge (e.g., time-critical news, or private domain knowledge) into the pretra…
Adapting our reporting into documentaries, scripted series, and films, to expand the reach of our journalism and engage audiences.
Learn about Google's approach to Gemini: following your directions, adapting to your needs, and safeguarding your experience.
Pytorch implementation of our paper: Adapting OCR with Limited Labels (⭐ 62)
Slowly adapting: Slowly adapting mechanoreceptors include Merkel and Ruffini corpuscle end-organs, and some free nerve endings. Slowly adapting type I
and automatically adapting the distance of the actuators used to clamp them and to transport them through the processing line Adapting the route a product
Adapting Minds: Evolutionary Psychology and the Persistent Quest for Human Nature is a book published by MIT Press written by philosopher of science David
2 days ago · Colorado Buffaloes quarterback JuJu Lewis, now a redshirt freshman, is adapting to the Go-Go offense being installed.
Points: 4 | Comments: 0 | Author: bookofjoe
We present the effect of adapting to human preferences on trust in a human-robot teaming task. The team performs a task in which the robot acts as an action recommender to the human. It is assumed that the behavior of the human and the robot is based...
Drones can provide a minimally-constrained adapting camera view to support robot telemanipulation. Furthermore, the drone view can be automated to reduce the burden on the operator during teleoperation. However, existing approaches do not focus on tw...
In this paper, we study the $ K $-finite matrix coefficients of integrable representations of the metaplectic cover of $ \mathrm{SL}_2(\mathbb R) $ and give a result on the non-vanishing of their Poincaré series. We do this by adapting the technique...
Reinforcement learning (RL) enables social robots to generate trajectories without relying on human-designed rules or interventions, making it generally more effective than rule-based systems in adapting to complex, dynamic real-world scenarios. Howe...
Urban villages, defined as informal residential areas in or around urban centers, are characterized by inadequate infrastructures and poor living conditions, closely related to the Sustainable Development Goals (SDGs) on poverty, adequate housing, an...
Welcome to Gnod's World of Music Gnod is a self-adapting system that learns about the outer world by asking its visitors what they like and what they don't like.
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory" (⭐ 7047)
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch. (⭐ 4342)
In numerical analysis, adaptive mesh refinement (AMR) is a method of adapting the accuracy of a solution within certain sensitive or turbulent regions
Hanabi is a cooperative game that brings the problem of modeling other players to the forefront. In this game, coordinated groups of players can leverage pre-established conventions to great effect, but playing in an ad-hoc setting requires agents to...
This position paper outlines a new approach to adapting 3D user interface (UI) layouts given the complex nature of end-user preferences. Current optimization techniques, which mainly rely on weighted sum methods, can be inflexible and result in unsat...
Some people said Mahoraga can only adapt to attacks he's exposed to, but here he's adapting to someone's whole fucking existence, bro really does adapt to any and all phenomena ...
Points: 178 | Comments: 13 | Author: cataPhil
As expected, Dabura learned DE on his own two minutes after learning RCT and CTR, but Dabura observed that Mahoraga's Adaptation is also capable of adapting to someone's "existence" and not just their...
Points: 246 | Comments: 73 | Author: archon1410
A major research direction in contextual bandits is to develop algorithms that are computationally efficient, yet support flexible, general-purpose function approximation. Algorithms based on modeling rewards have shown strong empirical performance,...
Emerging research on bias attribution and interpretability have revealed how tokens contribute to biased behavior in language models processing English texts. We build on this line of inquiry by adapting the information-theoretic bias attribution sco...
Vocabulary expansion (VE) is the de-facto approach to language adaptation of large language models (LLMs) by adding new tokens and continuing pre-training on target data. While this is effective for base models trained on unlabeled data, it poses cha...
Pretraining Large Language Models (LLMs) on large corpora of textual data is now a standard paradigm. When using these LLMs for many downstream applications, it is common to additionally bake in new knowledge (e.g., time-critical news, or private dom...
In recent years, Large Language Models (LLMs) have demonstrated remarkable abilities in various natural language processing tasks. However, adapting these models to specialized domains using private datasets stored on resource-constrained edge device...
Wanted a joystick switcher for my Commodore 64, so I built one by adapting C64 Mega Switcher for use with Atari-style joysticks. Supports secondary fire-button when using Sega Master System gamepads, even includes an auto-fire circuit. (⭐ 21)
Smart cities have been a very active research area in the past 20 years, while continuously adapting to new technological advancements and keeping up with the times regarding sustainability and climate change. In this context, there have been numerou...
We address the problem of accelerating column generation for set cover problems in which we relax the state space of the columns to do efficient pricing. We achieve this by adapting the recently introduced smooth and flexible dual optimal inequalitie...
Crows are thought to be among our most intelligent birds, and the success of the American Crow in adapting to civilization would seem to confirm this. Despite past attempts to exterminate them, …
The domain diversities including inconsistent annotation and varied image collection conditions inevitably exist among different facial expression recognition (FER) datasets, which pose an evident challenge for adapting the FER model trained on one d...
Generative AI tools such as ChatGPT have recently gained significant attention in higher education. This study aims to understand how universities establish policies regarding the use of AI tools and explore the factors that influence their decisions...
According to the American Psychological Association’s Psychology Help Center, resilience is the process of adapting well in the face of adversity or significant sources of stress (for instance, …
(Resilience, n.d.). According to the APA, resilience is, “the process of adapting well in the face of adversity, trauma, tragedy, threats or even significant sources of stress” (Building Your, 2012). The …
Jan 1, 2012 · Psychologists define resilience as the process of adapting well in the face of adversity, trauma, tragedy, threats, or significant sources of stress—such as family and relationship problems, …
Resilience is the process and outcome of successfully adapting to difficult or challenging life experiences, especially through mental, emotional, and behavioral flexibility and adjustment to …
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