Sameer Singh
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View article: Leveraging In-Context Learning for Language Model Agents
Leveraging In-Context Learning for Language Model Agents Open
In-context learning (ICL) with dynamically selected demonstrations combines the flexibility of prompting large language models (LLMs) with the ability to leverage training data to improve performance. While ICL has been highly successful f…
View article: Impact of Training and Development on organizational performance: A study in the Steel Industry
Impact of Training and Development on organizational performance: A study in the Steel Industry Open
Training and development (T&D) are essential in today’s fast-changing industrial environment, especially in the steel industry, which is capital- and labor-intensive. This research paper studies how investments in T&D influence key perform…
View article: WIND: A Wireless Intelligent Network Digital Twin for Federated Learning and Multi-Layer Optimization
WIND: A Wireless Intelligent Network Digital Twin for Federated Learning and Multi-Layer Optimization Open
The forthcoming wireless network is expected to support a wide range of applications, from supporting autonomous vehicles to massive Internet of Things (IoT) deployments. However, the coexistence of diverse applications under a unified fra…
View article: Semantic Probabilistic Control of Language Models
Semantic Probabilistic Control of Language Models Open
Semantic control entails steering LM generations towards satisfying subtle non-lexical constraints, e.g., toxicity, sentiment, or politeness, attributes that can be captured by a sequence-level verifier. It can thus be viewed as sampling f…
View article: AI-Driven Enhancement of Spam Detection in SMS and Email Using AWS Leveraging Deep Spam Model
AI-Driven Enhancement of Spam Detection in SMS and Email Using AWS Leveraging Deep Spam Model Open
This study proposes a revolutionary strategy to enhance spam detection in SMS and email communications by integrating the powerful AWS cloud architecture with cutting- edge artificial intelligence (AI) approaches. The project seeks to prod…
View article: Chemical Protein Engineering: Backbone Cyclization Rescues Folding of a 183‐Residue Truncated Domain of Malaria Parasite Protein <i>Pf</i>AMA1
Chemical Protein Engineering: Backbone Cyclization Rescues Folding of a 183‐Residue Truncated Domain of Malaria Parasite Protein <i>Pf</i>AMA1 Open
The interaction between apical membrane antigen 1 ( Pf AMA1) and rhoptry neck protein 2 ( Pf RON2) is crucial for Plasmodium falciparum red blood cell invasion, making it a key target for anti‐malarial drug development strategies. Here, we…
View article: Emotion Detection through Facial Expressions: A Survey of AI-Based Methods
Emotion Detection through Facial Expressions: A Survey of AI-Based Methods Open
Facial Expression Recognition (FER) is a critical area of research in computer vision and artificial intelligence, enabling machines to interpret human emotions through facial cues. Originating from early facial recognition techniques in t…
View article: Waste Management System ECOSORT -AI
Waste Management System ECOSORT -AI Open
- Efficient waste management is crucial for sustainable urban living. However, challenges such as improper segregation, low recycling rates, and reliance on manual systems hinder progress toward environmental goals. This paper introduces E…
View article: Federated Learning-Based Authentication and Trust Scoring System for Cloud IoT Security
Federated Learning-Based Authentication and Trust Scoring System for Cloud IoT Security Open
A number of IoT-related security challenges are faced due to the introduction of IoT devices in almost all sections, including smart homes and industrial applications. New security solutions will be required in IoT networks to tackle issue…
View article: TurtleBench: A Visual Programming Benchmark in Turtle Geometry
TurtleBench: A Visual Programming Benchmark in Turtle Geometry Open
Humans have the ability to reason about geometric patterns in images and scenes from a young age. However, developing large multimodal models (LMMs) capable of similar reasoning remains a challenge, highlighting the need for robust evaluat…
View article: Benchmark Data Repositories for Better Benchmarking
Benchmark Data Repositories for Better Benchmarking Open
In machine learning research, it is common to evaluate algorithms via their performance on standard benchmark datasets. While a growing body of work establishes guidelines for -- and levies criticisms at -- data and benchmarking practices …
View article: Nudging: Inference-time Alignment of LLMs via Guided Decoding
Nudging: Inference-time Alignment of LLMs via Guided Decoding Open
Large language models (LLMs) require alignment to effectively and safely follow user instructions. This process necessitates training an aligned version for every base model, resulting in significant computational overhead. In this work, w…
View article: Perceptions of Linguistic Uncertainty by Language Models and Humans
Perceptions of Linguistic Uncertainty by Language Models and Humans Open
_Uncertainty expressions_ such as "probably" or "highly unlikely" are pervasive in human language. While prior work has established that there is population-level agreement in terms of how humans quantitatively interpret these expressions,…
View article: Role of Physical and Biochemical Characters in Groundnut Genotypes as a Basis of Resistance against Groundnut Bruchid, Caryedon serratus Olivier during Storage
Role of Physical and Biochemical Characters in Groundnut Genotypes as a Basis of Resistance against Groundnut Bruchid, Caryedon serratus Olivier during Storage Open
Background: Groundnut bruchid (Caryedon serratus Olivier) is the most important stored grain insect pests of groundnut that significantly lowers the quality and market acceptance of the produce. The grub of this insect causes extensive dam…
View article: Rice genotypes and the biochemical basis of resistance against brown planthopper, Nilaparvata lugens (Stål)
Rice genotypes and the biochemical basis of resistance against brown planthopper, Nilaparvata lugens (Stål) Open
Screening of 50 rice genotypes against brown planthopper infestation was conducted in open field conditions over two consecutive years (Kharif 2018-19 and 2019-20). Based on pest population per hill, rice genotypes IR82475-110-2-2-1-2, Aks…
View article: Influence of Pollen Trapping on Honey Production of Apis mellifera L. (Hymenoptera: Apidae) High Strength Colony under Mustard Flowering Season
Influence of Pollen Trapping on Honey Production of Apis mellifera L. (Hymenoptera: Apidae) High Strength Colony under Mustard Flowering Season Open
Background: Bee colonies are fed with pollen supplemented diets to sustain them during unfavourable conditions. These pollen loads are collected from foraging bees using pollen traps mounted on colonies. However, intensive trapping may int…
View article: Are Models Biased on Text without Gender-related Language?
Are Models Biased on Text without Gender-related Language? Open
Gender bias research has been pivotal in revealing undesirable behaviors in large language models, exposing serious gender stereotypes associated with occupations, and emotions. A key observation in prior work is that models reinforce ster…
View article: MisgenderMender: A Community-Informed Approach to Interventions for Misgendering
MisgenderMender: A Community-Informed Approach to Interventions for Misgendering Open
Content Warning: This paper contains examples of misgendering and erasure that could be offensive and potentially triggering. Misgendering, the act of incorrectly addressing someone's gender, inflicts serious harm and is pervasive in every…
View article: Population Dynamics of Helicoverpa armigera in Chickpea, (Cicer arietinum L.)
Population Dynamics of Helicoverpa armigera in Chickpea, (Cicer arietinum L.) Open
The present studies on population dynamics of gram pod borer insect pest were carried out at Students’ Instructional Farm (SIF) of Acharya Narendra Deva University of Agriculture & Technology, Kumarganj, Ayodhya (UP), India during Rabi 202…
View article: Influence of Abiotic Factors on Pest Dynamics in Rapeseed Mustard
Influence of Abiotic Factors on Pest Dynamics in Rapeseed Mustard Open
The study identified four key insect pests in mustard crop, i.e., mustard sawfly, mustard aphid, cabbage butterfly and painted bug. These pests have been shown to cause significant crop loss at different growth phases. During the crop's ve…
View article: Biology of Fall Armyworm Spodoptera frugiperda (J.E. Smith) on Maize under Laboratory Conditions
Biology of Fall Armyworm Spodoptera frugiperda (J.E. Smith) on Maize under Laboratory Conditions Open
Maize is a important cereal harvests developed for food, fodder and raw material throughout the country. It is rich source of proteins, carbohydrates and vitamins. Corn production is decreasing day by day due to attack of more than 353 ins…
View article: Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills Open
Large language models (LLMs) have recently been used for sequential decision making in interactive environments. However, leveraging environment reward signals for continual LLM actor improvement is not straightforward. We propose Skill Se…
View article: Biology of Maize Stem Borer Chilo partellus [Swinhoe] under Laboratory Conditions
Biology of Maize Stem Borer Chilo partellus [Swinhoe] under Laboratory Conditions Open
Maize is one of the main cereal crops that is grown worldwide for food, fodder, and raw materials. It's a great source of vitamins, carbohydrates, and proteins. Because of the daily attacks by over 250 insect species and mites, maize yield…