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|---|---|---|
try to summarize all the recent ideas similar to that in paper:Training Large Language Models to Reason in a Continuous Latent Space
|
Literature Understanding
|
computer science
|
Tell me about tooth loss and dementia.
|
Literature Understanding
|
medicine
|
How to calculate torsional strength in concrete beam according to aci 318
|
Literature Understanding
|
engineering
|
Articles on the topic of AI
|
Paper Finding
|
computer science
|
Talk about where regression based models were used for water quality analysis, it should be detailed, it's for a literature review, so use the authors both narratively and parenthetically.
|
Literature Understanding
|
environmental science
|
What are the latest research for implementing RAG systems that have to retrieve multiple documents that go over the LLM context window size?
|
Literature Understanding
|
computer science
|
Explain to me the mathematical working of Nearest Neighbors algorithm.
|
Literature Understanding
|
computer science
|
Find a reference for this conclusion：With the overexploitation of conventional fossil fuels and the relevant environmental issues, there is a pressing global demand for sustainable, economical, and renewable energy storage solutions
|
Paper Finding
|
environmental science
|
find the mediating role between VR social interaction and behaviour intentions
|
Literature Understanding
|
psychology
|
How can storytelling in open source and CBPP balance legal, cultural, economic, technological, and ethical considerations to respect diversity, incentivize participation, and ensure privacy and security not related blockchain
|
Literature Understanding
|
computer science
|
Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction
|
Paper Finding
|
computer science
|
Are there any papers on watermarking which add learnable distortions to logits
|
Paper Finding
|
computer science
|
I want to learn about lazy search algorithms for robotics.Suggest 3-4 papers
|
Paper Finding
|
computer science
|
atrovastain and keotocoazole combination
|
Literature Understanding
|
medicine
|
Phb synthesis from yeast
|
Literature Understanding
|
biology
|
The importance of managing educational time
|
Literature Understanding
|
education
|
find clustering algorithms using relative density relevant to density peaks
|
Literature Understanding
|
computer science
|
find papers on topic: noisy object detection
|
Paper Finding
|
computer science
|
Who invented RAG (retrieval-augmented generation)
|
Literature Understanding
|
computer science
|
Opportunities in LLM Applications
|
Literature Understanding
|
computer science
|
One-Dimensional Warranty Cost Analysis for New Products
|
Literature Understanding
|
business
|
weight adjustment in Multi-objective Optimization
|
Literature Understanding
|
computer science
|
what are major applications created in compound AI technology?
|
Literature Understanding
|
computer science
|
Which papers study the information needed for a collaborative filtering model to surpass a general (not personalized) popularity recommender; i.e., how many interactions does the user need before one model surpasses the other?
|
Paper Finding
|
computer science
|
Explain the synergy between MAS and CBPP principles
|
Literature Understanding
|
computer science
|
I am using a speaker diarization model called eend-eda. This model output local speaker embeddings called attractor. Are these embeddings able to be applied clustering?
|
Literature Understanding
|
computer science
|
Predictive models in Computer-based health information services Usage
|
Literature Understanding
|
medicine
|
Are there any papers showing that C57BL/6J mice were subjected to a procedure to induce hypertension and their blood pressure actually increased?
|
Paper Finding
|
medicine
|
Constructivism in the modern classroom
|
Literature Understanding
|
education
|
summarize this paper VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization
|
Paper Understanding
|
computer science
|
Nivolumab plus Ipilimumab in Microsatellite-Instability-High Metastatic Colorectal Cancer
|
Literature Understanding
|
medicine
|
list some representative works on bayesian optimization for discrete inputs
|
Paper Finding
|
computer science
|
Find papers on chatbot and PM
|
Paper Finding
|
computer science
|
Search for relevant papers within the last 3 years for the following
1. Task division and resource allocation for distributed training in edge scenarios:
|
Paper Finding
|
computer science
|
Why is KL divergence used over other types of divergence in model distillation?
|
Literature Understanding
|
computer science
|
Do you think reasoning models are more selfish?
|
Literature Understanding
|
computer science
|
What are the hot topics in sub-THz communication?
|
Literature Understanding
|
engineering
|
Recognition of driver's emotions using neural networks
|
Paper Finding
|
computer science
|
delayed project implementation startup
|
Literature Understanding
|
business
|
Economic Growth and GDP: Implications for Johnson & Johnson in Egypt
|
Literature Understanding
|
business
|
strategies for music creation in multimedia arts
|
Literature Understanding
|
arts
|
Is English important for secondary schooling in South Africa
|
Literature Understanding
|
education
|
How llms can be used in a hybrid - NER system
|
Literature Understanding
|
computer science
|
I'm pretraining a language model to help users programming. Can you find good principles for selecting good code documents to pretrain on from a large code repository? for example, do the papers use any heuristics to filter content? do they follow any other principle? do they use models? what other ways I missed on how data should be selected and prepared for language model pretraining? be throughout.
|
Literature Understanding
|
computer science
|
latest research on using rppg for deepfake detection
|
Literature Understanding
|
computer science
|
Strategies for Increasing Female Participation in Sports
|
Literature Understanding
|
sports science
|
Relation of Organizational Support with Innovative work behavior
|
Literature Understanding
|
business
|
How can AI be leveraged to support cybersecurity?
|
Literature Understanding
|
computer science
|
Summarize the following paper: OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs
|
Paper Understanding
|
computer science
|
data workers may shape their ratings to match presumed employer expectations rather than their own cultural norms
|
Other
|
computer science
|
Best ai search source
|
Literature Understanding
|
computer science
|
Artificial Intelligence Approaches in Point of Care biosensors
|
Paper Finding
|
medicine
|
Find papers on facial analysis using MRI for underlying anatomy
|
Paper Finding
|
medicine
|
How to leverage multi-objective optimisation for adversarial attacks against explainable methods
|
Literature Understanding
|
computer science
|
Does the generalization of multilayer perceptrons improve when additional hidden layers are employed?
|
Literature Understanding
|
computer science
|
Is there a paper on LLM transfer learning?
|
Paper Finding
|
computer science
|
decline shows preference in design
|
Literature Understanding
|
arts
|
summarize a paper: Generating specifications from requirements documents for smart devices using large language models
|
Paper Understanding
|
computer science
|
Can LLM's reasoning paths be used as "explanation" for the readers who want to make decisions
|
Literature Understanding
|
computer science
|
Addressing these challenges calls for a comprehensive understanding of how social media affects human values. User reviews, as a valuable resource, capture firsthand user experiences and provide rich insights into the trade-offs and stakeholder priorities that underpin design decisions. These reviews offer a holistic perspective on how everyday interactions with the app might reveal emerging risks to human values.
|
Other
|
computer science
|
Please provide summary overview of lactose metabolism and impact of genetic selection on the LCT locus over health and disease conditions in global populations
|
Literature Understanding
|
biology
|
Share of renewable energy in power generation in 2025
|
Literature Understanding
|
environmental science
|
Please give a definition based on research papers for cloud computing.
|
Literature Understanding
|
computer science
|
risk score calculation and use in healthcare
|
Literature Understanding
|
medicine
|
What kind of memory is shared in a conversation?
|
Literature Understanding
|
psychology
|
Challenges as Partner Model in Clinical Education in Implementing the Community
|
Paper Finding
|
education
|
explain what we mean by scale in network
|
Literature Understanding
|
computer science
|
Why is graphene used as a SPME material, and why does modification of graphene by fluorine atoms enhance its selectivity for fluorinated organic compounds?
|
Literature Understanding
|
chemistry
|
why is there a CO2 shortage for industry but still an overabundance of CO2 in the atmosphere
|
Literature Understanding
|
environmental science
|
paper on the drawbacks of static scheduling algorithms
|
Paper Finding
|
computer science
|
Could you summarize the current landscape around the intersection of data science and medicine/healthcare?
|
Literature Understanding
|
medicine
|
Magnetic interface structure of STO
|
Literature Understanding
|
engineering
|
what is the difference between LLaVA and other previous models?
|
Literature Understanding
|
computer science
|
Eastern Orthodox critiques of protestantism?
|
Literature Understanding
|
theology
|
Has anyone tried to develop a consulting product for implementing carbon footprint tracking tools and CO2 reduction strategies using cloud technologies?
|
Literature Understanding
|
environmental science
|
check for prior work about NLP
|
Literature Understanding
|
computer science
|
Human logic and machine logic
|
Literature Understanding
|
computer science
|
Various factors contribute to these perceptions, including the relevance of the learning task, its difficulty, and the individual’s interests and goals
|
Other
|
education
|
microRNA and treatment for depression
|
Literature Understanding
|
medicine
|
chinese text recognition convolution
|
Paper Finding
|
computer science
|
Can you suggest 3 papers on Spin-Orbit Coupling and Topological Properties in regards to 2D SPINTRONIC MATERIALS AND PHENOMENA. I need to hit these topics: Examine materials such as WTe2 and Bi2Se3 for their strong spin-orbit coupling and
potential for spin-charge interconversion. - Highlight the relevance of topological insulators
and quantum anomalous Hall insulators in wearable neuromorphic devices. Synaptic weights
4
in neuromorphic systems with fast switching (<1 ns) and low energy (<10 fJ/bit). -
W/CoFeB/MgO structures have demonstrated high spin-torque efficiency.
|
Paper Finding
|
physics
|
bias evaluation benchmarks for large model training.
|
Literature Understanding
|
computer science
|
Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all in the context of Platform Economy
|
Literature Understanding
|
finance
|
can you suggest some papers (reviews or meta-analysis) which handled the problem of different formats of the age statistics (for example some research contained the range of the ages and another ones mean values)
|
Paper Finding
|
research methodology
|
how to reconstruct images from EEG via GAN
|
Literature Understanding
|
computer science
|
Find papers on small language model agents within multi-agent systems
|
Paper Finding
|
computer science
|
Summarze computational models on cultural evolution among LLM agents
|
Literature Understanding
|
computer science
|
what are the melting points of typical textile polymers
|
Literature Understanding
|
engineering
|
find papers of Chinese humanities
|
Paper Finding
|
social sciences
|
Please show me wafer map analysis papers for semiconductor industry?
|
Paper Finding
|
engineering
|
Application of NiPB thin film to stress history measurement
|
Literature Understanding
|
engineering
|
Cognitive Architectures for Language Agents
|
Literature Understanding
|
computer science
|
The Impact of the Digital Economy on the High-Quality Development of the Logistics Industry
|
Literature Understanding
|
business
|
The architectures of future networks must seamlessly integrate with various innovative and communication technologies and accommodate the increasing number of connected device
|
Other
|
computer science
|
tube dominant test and social stress
|
Literature Understanding
|
psychology
|
Another valuable application of the dataset is its use in benchmarking new algorithms. The manually evaluated relationships and clearly defined error types provide a robust framework for evaluating the performance of newly developed models. With this dataset, researchers can establish standardized benchmarks
|
Other
|
computer science
|
What do you think of my summary and outlook section?
Summary and Outlook
Fragments offer robust templates for efficient chemical space exploration, formulaic DMT workflows, and (Q)SAR acquisition, helping in the efficient development of potent follow-up compounds with lead-like characteristics. FBDD however has limitations. The initial fragments selection, crucial for shaping the hit-to-lead strategy, typically lacks a clear and objective rationale, signalling an area for future development. It is our view that progresses in fragment selection and systematic screening/ testing data utilisation could help streamline future early-stage drug discovery. The progression of fragments into lead-like follow-up compounds is intrinsically case-specific and multi-objective hence requiring holistic approaches and models accounting for physicochemical properties, binding affinities, synthetic feasibility, and biological activity profiles necessary to optimise drug-like characteristics effectively.
Defining and refining objectives across different DMT iterations is similarly a case-specific and often subjective process. End-to-end workflows and automated laboratories powered by artificial intelligence for decision-making are expected to help overcome this bottleneck. Fragments, with their modularity, serve as ideal scaffolds for multi-task optimization across these workflows.
In the design phase, fragment data can empower computational methods, particularly those aimed at integrating activity (affinity and ADMET) predictions with chemical accessibility. Evolving fields like machine learning and free energy calculations, where fragment data can be used to guide models and simulations, are also showing promise to better prioritise follow-up compound in-silico for synthesis and testing61,84. Generative AI is particularly powerful for sampling ultra-large chemical spaces and addressing multi-parameter optimization challenges. However, there are still significant pitfalls, including chemical stability considerations112. Newly established active learning protocols for transforming costly physics-based scoring into more efficient ligand-based approaches are showing promise, with fragment data potentially enhancing predictions by providing high-quality reference poses and scaffolds.
The “Make” phase in FBDD is also evolving. Novel synthetic methodologies, in particular C-H activation, provide access to previously unexplored chemical spaces95. Advances in high-throughput instrumentation and automation, facilitate the synthesis of larger follow-up arrays, thereby allowing for more extensive explorations91. These large-scaled and intensive explorations can be harnessed by computational methods for QSAR model building or the machine-learning-based optimisation of synthetic tasks, therefore better guiding subsequent DMT steps and improving compound design. Fragments serve as high-quality starting points for synthetic elaboration, but the large-scale production of compound arrays can lead to bottlenecks, particularly during purification4,92,93. Retrosynthetic algorithms are increasingly valuable for compound scoring for accessibility, offering pathways to identify compounds derived from fragments or analogues, while constraining routes to achieve more feasible and efficient synthesis plans.
Testing methodologies, such as crystallography, are adapting, especially with the introduction of testing crude reaction mixtures from fragment elaboration and other purification-agnostic methods, like DELs93,108,110. It is our view that these advances bring about the challenge of deconvoluting noisy experimental data to build reliable (Q)SAR models, highlighting the need for sensitive testing methods, usage of complementary modelling tools, and interpretable data analysis techniques.
Overall, the usage of fragments in the hit-to-lead process is brimming with opportunities at each stage of DMT cycles, fostering an integrative approach to identify potent lead-like follow-up compounds. Significant advances in design, synthetic and testing methods have made possible to more efficiently explore high-quality chemical spaces, using fragments as high-quality seeds leading to the acquisition of vast SAR data that can be employed to re-enforce the productivity of subsequent DMT cycles. However numerous bottlenecks remain to be addressed especially in fragment selection and appropriate use of fragment data to guide physics-based simulation and machine learning approaches. There are also bottlenecks in how to efficiently pair high-throughput synthetic approaches with testing methodologies to rapidly extract reliable SAR models from which lead compounds can be designed.
|
Paper Understanding
|
chemistry
|
measurements of Higgs total width at ATLAS and CMS
|
Literature Understanding
|
physics
|
Please help me design a low-carbon cement clinker with carbon emissions within 630kg/t.
|
Literature Understanding
|
engineering
|
Vitamin D and Carcinogenesis
|
Paper Finding
|
medicine
|
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