Update README.md

README.md

@@ -8,59 +8,72 @@ tags:
 - loss:ContrastiveLoss
 base_model: intfloat/e5-large-v2
 widget:
-- source_sentence: 'query: The study addresses the need for effective tools that allow
-    both novice and expert users to analyze the diversity of news coverage about events.
-    It highlights the importance of tailoring the interface to accommodate non-expert
-    users while also considering the insights of journalism-savvy users, indicating
-    a gap in existing systems that cater to varying levels of expertise in news analysis.We
-    suggest combining ''a coordinated visualization interface tailored for visualization
-    non-expert users'' and '
+- source_sentence: >-
+    query: The study addresses the need for effective tools that allow both
+    novice and expert users to analyze the diversity of news coverage about
+    events. It highlights the importance of tailoring the interface to
+    accommodate non-expert users while also considering the insights of
+    journalism-savvy users, indicating a gap in existing systems that cater to
+    varying levels of expertise in news analysis.We suggest combining 'a
+    coordinated visualization interface tailored for visualization non-expert
+    users' and 
   sentences:
   - graph convolution
   - Monte-Carlo sampling
   - geometric features derived from perception sensor data
-- source_sentence: 'query: The accuracy of pixel flows is crucial for achieving high-quality
-    video enhancement, yet most prior works focus on estimating dense flows that are
-    generally less robust and computationally expensive. This highlights a gap in
-    existing methodologies that fail to prioritize accuracy over density, necessitating
-    a more efficient approach to flow estimation for video enhancement tasks.We suggest
-    combining ''sparse point cloud data'' and '
+- source_sentence: >-
+    query: The accuracy of pixel flows is crucial for achieving high-quality
+    video enhancement, yet most prior works focus on estimating dense flows that
+    are generally less robust and computationally expensive. This highlights a
+    gap in existing methodologies that fail to prioritize accuracy over density,
+    necessitating a more efficient approach to flow estimation for video
+    enhancement tasks.We suggest combining 'sparse point cloud data' and 
   sentences:
   - a human cognition mechanism, object unity
   - Bayesian Optimization
   - offline supervised learning
-- source_sentence: 'query: The traditional frame of discernment lacks a crucial factor,
-    the sequence of propositions, which limits the effectiveness of existing methods
-    to measure uncertainty. This gap highlights the need for a more comprehensive
-    approach that can better represent the relationships between the elements of the
-    frame of discernment.We suggest ''combine the order of propositions and the mass
-    of them'' inspired by '
+- source_sentence: >-
+    query: The traditional frame of discernment lacks a crucial factor, the
+    sequence of propositions, which limits the effectiveness of existing methods
+    to measure uncertainty. This gap highlights the need for a more
+    comprehensive approach that can better represent the relationships between
+    the elements of the frame of discernment.We suggest 'combine the order of
+    propositions and the mass of them' inspired by 
   sentences:
   - a MIA-Module
   - an Explore-m problem--a well-studied problem related to multi-armed bandits
   - based on the novel method UGPIG
-- source_sentence: 'query: Existing methods for anomaly detection on dynamic graphs
-    struggle with capturing complex time information in graph structures and generating
-    effective negative samples for unsupervised learning. These challenges highlight
-    the need for improved methodologies that can address the limitations of current
-    approaches in this field.We suggest combining ''a message-passing framework''
-    and '
+- source_sentence: >-
+    query: Existing methods for anomaly detection on dynamic graphs struggle
+    with capturing complex time information in graph structures and generating
+    effective negative samples for unsupervised learning. These challenges
+    highlight the need for improved methodologies that can address the
+    limitations of current approaches in this field.We suggest combining 'a
+    message-passing framework' and 
   sentences:
   - an LSTM encoder-decoder
   - an energy-based model
-  - learning the frame-wise associations between detections in consecutive frames
-- source_sentence: 'query: The study addresses the need for effective time series
-    forecasting methods to estimate the spread of epidemics, particularly in light
-    of the resurgence of COVID-19 cases. It highlights the importance of accurately
-    modeling both linear and non-linear features of epidemic data to provide state
-    authorities and health officials with reliable short-term forecasts and strategies.We
-    suggest combining ''ARIMA'' and '
+  - >-
+    learning the frame-wise associations between detections in consecutive
+    frames
+- source_sentence: >-
+    query: The study addresses the need for effective time series forecasting
+    methods to estimate the spread of epidemics, particularly in light of the
+    resurgence of COVID-19 cases. It highlights the importance of accurately
+    modeling both linear and non-linear features of epidemic data to provide
+    state authorities and health officials with reliable short-term forecasts
+    and strategies.We suggest combining 'ARIMA' and 
   sentences:
   - visualization methodologies
   - geometry
   - the utilization of a gradient signed distance field (gradient-SDF)
 pipeline_tag: sentence-similarity
 library_name: sentence-transformers
+license: mit
+datasets:
+- noystl/Recombination-Pred
+language:
+- en
 ---
 
 # SentenceTransformer based on intfloat/e5-large-v2