Tootfinder

SocialPET: Socially Informed Pattern Exploiting Training for Few-Shot Stance Detection in Social Media
Parisa Jamadi Khiabani, Arkaitz Zubiaga
https://arxiv.org/abs/2403.05216

SocialPET: Socially Informed Pattern Exploiting Training for Few-Shot Stance Detection in Social Media
Stance detection, as the task of determining the viewpoint of a social media post towards a target as 'favor' or 'against', has been understudied in the challenging yet realistic scenario where there is limited labeled data for a certain target. Our work advances research in few-shot stance detection by introducing SocialPET, a socially informed approach to leveraging language models for the task. Our proposed approach builds on the Pattern Exploiting Training (PET) technique, which addresses c…

SocialPET: Socially Informed Pattern Exploiting Training for Few-Shot Stance Detection in Social Media
Parisa Jamadi Khiabani, Arkaitz Zubiaga
https://arxiv.org/abs/2403.05216

SocialPET: Socially Informed Pattern Exploiting Training for Few-Shot Stance Detection in Social Media
Stance detection, as the task of determining the viewpoint of a social media post towards a target as 'favor' or 'against', has been understudied in the challenging yet realistic scenario where there is limited labeled data for a certain target. Our work advances research in few-shot stance detection by introducing SocialPET, a socially informed approach to leveraging language models for the task. Our proposed approach builds on the Pattern Exploiting Training (PET) technique, which addresses c…

ZeroCAP: Zero-Shot Multi-Robot Context Aware Pattern Formation via Large Language Models
Vishnunandan L. N. Venkatesh, Byung-Cheol Min
https://arxiv.org/abs/2404.02318

ZeroCAP: Zero-Shot Multi-Robot Context Aware Pattern Formation via Large Language Models
Incorporating language comprehension into robotic operations unlocks significant advancements in robotics, but also presents distinct challenges, particularly in executing spatially oriented tasks like pattern formation. This paper introduces ZeroCAP, a novel system that integrates large language models with multi-robot systems for zero-shot context aware pattern formation. Grounded in the principles of language-conditioned robotics, ZeroCAP leverages the interpretative power of language models…

Korvai experiment in Strudel https://strudel.cc/?pMQgZRfXV6Qf

Korvai experiment in Strudel https://strudel.cc/?pMQgZRfXV6Qf

This https://arxiv.org/abs/2402.03328 has been replaced.
link: https://scholar.google.com/scholar?q=a

Visual Enumeration is Challenging for Large-scale Generative AI
Humans can readily judge the number of objects in a visual scene, even without counting, and such a skill has been documented in many animal species and babies prior to language development and formal schooling. Numerical judgments are error-free for small sets, while for larger collections responses become approximate, with variability increasing proportionally to the target number. This response pattern is observed for items of all kinds, despite variation in object features (such as color or…

This https://arxiv.org/abs/2302.11887 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

A Curry-Howard Correspondence for Linear, Reversible Computation
In this paper, we present a linear and reversible programming language with inductives types and recursion. The semantics of the languages is based on pattern-matching; we show how ensuring syntactical exhaustivity and non-overlapping of clauses is enough to ensure reversibility. The language allows to represent any Primitive Recursive Function. We then give a Curry-Howard correspondence with the logic $μ$MALL: linear logic extended with least fixed points allowing inductive statements. The cr…

This https://arxiv.org/abs/2404.01921 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution
Based on Pre-trained Language Models (PLMs), event coreference resolution (ECR) systems have demonstrated outstanding performance in clustering coreferential events across documents. However, the existing system exhibits an excessive reliance on the `triggers lexical matching' spurious pattern in the input mention pair text. We formalize the decision-making process of the baseline ECR system using a Structural Causal Model (SCM), aiming to identify spurious and causal associations (i.e., ration…

Generative AI in Cybersecurity
Shivani Metta, Isaac Chang, Jack Parker, Michael P. Roman, Arturo F. Ehuan
https://arxiv.org/abs/2405.01674 https://<…

Generative AI in Cybersecurity
The dawn of Generative Artificial Intelligence (GAI), characterized by advanced models such as Generative Pre-trained Transformers (GPT) and other Large Language Models (LLMs), has been pivotal in reshaping the field of data analysis, pattern recognition, and decision-making processes. This surge in GAI technology has ushered in not only innovative opportunities for data processing and automation but has also introduced significant cybersecurity challenges. As GAI rapidly progresses, it outst…

Towards an Approach to Pattern-based Domain-Specific Requirements Engineering
T. Chuprina (fortiss GmbH, Blekinge Institute of Technology), D. M\'endez (fortiss GmbH, Blekinge Institute of Technology), V. Nigam (Airbus Defence and Space GmbH, Technische University of Chemnitz), M. Reich (Airbus Defence and Space GmbH, Technische University of Chemnitz), A. Schweiger (Airbus Defence and Space GmbH)

Towards an Approach to Pattern-based Domain-Specific Requirements Engineering
Requirements specification patterns have received much attention as they promise to guide the structured specification of natural language requirements. By using them, the intention is to reduce quality problems related to requirements artifacts. Patterns may need to vary in their syntax (e.g. domain details/ parameter incorporation) and semantics according to the particularities of the application domain. However, pattern-based approaches, such as EARS, are designed domain-independently to fac…

Encoder-Decoder Framework for Interactive Free Verses with Generation with Controllable High-Quality Rhyming
Tommaso Pasini, Alejo L\'opez-\'Avila, Husam Quteineh, Gerasimos Lampouras, Jinhua Du, Yubing Wang, Ze Li, Yusen Sun
https://arxiv.org/abs/2405.05176

Encoder-Decoder Framework for Interactive Free Verses with Generation with Controllable High-Quality Rhyming
Composing poetry or lyrics involves several creative factors, but a challenging aspect of generation is the adherence to a more or less strict metric and rhyming pattern. To address this challenge specifically, previous work on the task has mainly focused on reverse language modeling, which brings the critical selection of each rhyming word to the forefront of each verse. On the other hand, reversing the word order requires that models be trained from scratch with this task-specific goal and ca…

Encoder-Decoder Framework for Interactive Free Verses with Generation with Controllable High-Quality Rhyming
Tommaso Pasini, Alejo L\'opez-\'Avila, Husam Quteineh, Gerasimos Lampouras, Jinhua Du, Yubing Wang, Ze Li, Yusen Sun
https://arxiv.org/abs/2405.05176

Encoder-Decoder Framework for Interactive Free Verses with Generation with Controllable High-Quality Rhyming
Composing poetry or lyrics involves several creative factors, but a challenging aspect of generation is the adherence to a more or less strict metric and rhyming pattern. To address this challenge specifically, previous work on the task has mainly focused on reverse language modeling, which brings the critical selection of each rhyming word to the forefront of each verse. On the other hand, reversing the word order requires that models be trained from scratch with this task-specific goal and ca…

I get that there’s a colloquial convention for this in the UI design language (left off, right on), but it’s uaully accompanied by a label or at least a colour change.
This is especially complicated for an international audience (e.g. US power switches up for on; UK down for on).
I have a hard time believing this is not an intentional anti-pattern to trick users into doing the thing the website wants them to do (which is often the opposite of what the user wants to do).
Ple…

Wizard of Oz Experimentation for Language Technology Applications: Challenges and Tools
Stephan Schl\"ogl, Gavin Doherty, Saturnino Luz
https://arxiv.org/abs/2402.14563

Wizard of Oz Experimentation for Language Technology Applications: Challenges and Tools
Wizard of OZ (WOZ) is a well-established method for simulating the functionality and user experience of future systems. Using a human wizard to mimic certain operations of a potential system is particularly useful in situations where extensive engineering effort would otherwise be needed to explore the design possibilities offered by such operations. The WOZ method has been widely used in connection with speech and language technologies, but advances in sensor technology and pattern recognition…

This https://arxiv.org/abs/2402.12928 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence
By consolidating scattered knowledge, the literature review provides a comprehensive understanding of the investigated topic. However, excessive reviews, especially in the booming field of pattern analysis and machine intelligence (PAMI), raise concerns for both researchers and reviewers. In response to these concerns, this Analysis aims to provide a thorough review of reviews in the PAMI field from diverse perspectives. First, large language model-empowered bibliometric indicators are proposed…

This https://arxiv.org/abs/2312.13588 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

A few new oddtown and eventown problems
Given a vector $α= (α_1, \ldots, α_k) \in \mathbb{F}_2^k$, we say a collection of subsets $\mathcal{F}$ satisfies $α$-intersection pattern modulo $2$ if all $i$-wise intersections consisting of $i$ distinct sets from $\mathcal{F}$ have size $α_i \pmod{2}$. In this language, the classical oddtown and eventown problems correspond to vectors $α=(1,0)$ and $α=(0,0)$ respectively. In this paper, we determine the largest such set families of subsets on a $n$-element set with $α$-intersection …

Kolam rhythm thingie with @…
Doesn't seem to work well in firefox, better in chromium/chrome..
https://strudel.cc/?rQ4idhOh0wBH

Density of group languages in shift spaces
Val\'erie Berth\'e, Herman Goulet-Ouellet, Carl-Fredrik Nyberg Brodda, Dominique Perrin, Karl Petersen
https://arxiv.org/abs/2403.17892

Density of group languages in shift spaces
We study the density of group languages (i.e. rational languages recognized by morphisms onto finite groups) inside shift spaces. The density of a rational language can be understood as the frequency of some "pattern" in the shift space, for example a pattern like "words with an even number of a given letter." In this paper, we handle density of group languages via ergodicity of skew products between the shift space and the recognizing group. We consider both the cases of shifts of finite type …

Having fun exploring rhythmic live coded kambi kolam patterns with @… https://strudel.cc/?3peRsLXHwJW7

Having fun exploring rhythmic live coded kambi kolam patterns with @… https://strudel.cc/?3peRsLXHwJW7

This https://arxiv.org/abs/2309.15821 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

LGMCTS: Language-Guided Monte-Carlo Tree Search for Executable Semantic Object Rearrangement
We introduce a novel approach to the executable semantic object rearrangement problem. In this challenge, a robot seeks to create an actionable plan that rearranges objects within a scene according to a pattern dictated by a natural language description. Unlike existing methods such as StructFormer and StructDiffusion, which tackle the issue in two steps by first generating poses and then leveraging a task planner for action plan formulation, our method concurrently addresses pose generation an…

This https://arxiv.org/abs/2403.01548 has been replaced.
link: https://scholar.google.com/scholar?q=a

In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
Large language models (LLMs) frequently hallucinate and produce factual errors, yet our understanding of why they make these errors remains limited. In this study, we delve into the underlying mechanisms of LLM hallucinations from the perspective of inner representations, and discover a salient pattern associated with hallucinations: correct generations tend to have sharper context activations in the hidden states of the in-context tokens, compared to the incorrect ones. Leveraging this insight…

A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence
Penghai Zhao, Xin Zhang, Ming-Ming Cheng, Jian Yang, Xiang Li
https://arxiv.org/abs/2402.12928

A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence
By consolidating scattered knowledge, the literature review provides a comprehensive understanding of the investigated topic. However, excessive reviews, especially in the booming field of pattern analysis and machine intelligence (PAMI), raise concerns for both researchers and reviewers. In response to these concerns, this Analysis aims to provide a thorough review of reviews in the PAMI field from diverse perspectives. First, large language model-empowered bibliometric indicators are proposed…

This https://arxiv.org/abs/2402.16311 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Cross-domain Chinese Sentence Pattern Parsing
Sentence Pattern Structure (SPS) parsing is a syntactic analysis method primarily employed in language teaching.Existing SPS parsers rely heavily on textbook corpora for training, lacking cross-domain capability.To overcome this constraint, this paper proposes an innovative approach leveraging large language models (LLMs) within a self-training framework. Partial syntactic rules from a source domain are combined with target domain sentences to dynamically generate training data, enhancing the a…

Strudel is too addictive https://strudel.cc/?Er88OsfCyeGt

This https://arxiv.org/abs/2402.12928 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence
By consolidating scattered knowledge, the literature review provides a comprehensive understanding of the investigated topic. However, excessive reviews, especially in the booming field of pattern analysis and machine intelligence (PAMI), raise concerns for both researchers and reviewers. In response to these concerns, this Analysis aims to provide a thorough review of reviews in the PAMI field from diverse perspectives. First, large language model-empowered bibliometric indicators are proposed…

On the train to Aachen, falling in love with @…'s new stepwise functions https://strudel.cc/?LSngl_Vg2IBs

Strudel is getting pretty bonkers conkers https://strudel.cc/?NryARvJ6vw0X

This https://arxiv.org/abs/2402.12928 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence
By consolidating scattered knowledge, the literature review provides a comprehensive understanding of the investigated topic. However, reading, conducting, or peer-reviewing review papers generally demands a significant investment of time and effort from researchers. To improve efficiency, this paper aims to provide a thorough review of reviews in the PAMI field from diverse perspectives. First, this paper proposes several article-level, field-normalized, and large language model-empowered bibl…

This https://arxiv.org/abs/2312.04455 has been replaced.
link: https://scholar.google.com/scholar?q=a

Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use
In this paper, we demonstrate that an inherent waveform pattern in the attention allocation of large language models (LLMs) significantly affects their performance in tasks demanding a high degree of context awareness, such as utilizing LLMs for tool-use. Specifically, the crucial information in the context will be potentially overlooked by model when it is positioned in the trough zone of the attention waveform, leading to decreased performance. To address this issue, we propose a novel infere…