title
stringlengths 2
158
| abstract
stringlengths 0
2.78k
| review
stringlengths 62
28.2k
| source
stringclasses 4
values | review_src
stringclasses 1
value | criteria_count
dict | criticism
float64 0
1
| example
float64 0
1
| importance_and_relevance
float64 0
1
| materials_and_methods
float64 0
1
| praise
float64 0
1
| presentation_and_reporting
float64 0
1
| results_and_discussion
float64 0
1
| suggestion_and_solution
float64 0
1
| total_sentences
int64 1
237
| reward_value
float64 0
6
| reward_value_length_adjusted
float64 -790.27
3.73
| length_penalty
float64 0
792
| reference_reviews
sequencelengths 1
18
| full_text
stringlengths 5
184k
| thinking_trace
stringlengths 5
6.3k
| prompt
stringlengths 149
184k
| conversations
listlengths 2
2
| prompt_length
int64 31
82.1k
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Making Neural Programming Architectures Generalize via Recursion
| "Empirically, neural networks that attempt to learn programs from data have exhibited poor generaliz(...TRUNCATED)
| "This paper argues that being able to handle recursion is very important for neural programming arch(...TRUNCATED)
|
iclr2017
|
OpenReview
| {"criticism":1,"example":1,"importance_and_relevance":1,"materials_and_methods":5,"praise":1,"presen(...TRUNCATED)
| 0.111111
| 0.111111
| 0.111111
| 0.555556
| 0.111111
| 0.222222
| 0
| 0
| 9
| 1.222222
| 0.969703
| 0.252519
| ["This paper argues that being able to handle recursion is very important for neural programming arc(...TRUNCATED)
| "Title: MAKING NEURAL PROGRAMMING ARCHITECTURES GENERALIZE VIA RECURSION\n\nAbstract: Empirically, n(...TRUNCATED)
| "I'm tasked with providing a peer review of the paper \"MAKING NEURAL PROGRAMMING ARCHITECTURES GENE(...TRUNCATED)
| "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED)
| [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED)
| 15,200
|
Making Neural Programming Architectures Generalize via Recursion
| "Empirically, neural networks that attempt to learn programs from data have exhibited poor generaliz(...TRUNCATED)
| "This is a very interesting and fairly easy to read paper. The authors present a small, yet nifty ap(...TRUNCATED)
|
iclr2017
|
OpenReview
| {"criticism":1,"example":0,"importance_and_relevance":2,"materials_and_methods":2,"praise":2,"presen(...TRUNCATED)
| 0.083333
| 0
| 0.166667
| 0.166667
| 0.166667
| 0.25
| 0
| 0.083333
| 12
| 0.916667
| 0.900884
| 0.015782
| ["This paper argues that being able to handle recursion is very important for neural programming arc(...TRUNCATED)
| "Title: MAKING NEURAL PROGRAMMING ARCHITECTURES GENERALIZE VIA RECURSION\n\nAbstract: Empirically, n(...TRUNCATED)
| "I'm tasked with providing a peer review of the paper \"MAKING NEURAL PROGRAMMING ARCHITECTURES GENE(...TRUNCATED)
| "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED)
| [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED)
| 15,200
|
Making Neural Programming Architectures Generalize via Recursion
| "Empirically, neural networks that attempt to learn programs from data have exhibited poor generaliz(...TRUNCATED)
| "This paper improves significantly upon the original NPI work, showing that the model generalizes fa(...TRUNCATED)
|
iclr2017
|
OpenReview
| {"criticism":0,"example":0,"importance_and_relevance":1,"materials_and_methods":3,"praise":2,"presen(...TRUNCATED)
| 0
| 0
| 0.333333
| 1
| 0.666667
| 0
| 0.333333
| 0.333333
| 3
| 2.666667
| 1.088424
| 1.578243
| ["This paper argues that being able to handle recursion is very important for neural programming arc(...TRUNCATED)
| "Title: MAKING NEURAL PROGRAMMING ARCHITECTURES GENERALIZE VIA RECURSION\n\nAbstract: Empirically, n(...TRUNCATED)
| "I'm tasked with providing a peer review of the paper \"MAKING NEURAL PROGRAMMING ARCHITECTURES GENE(...TRUNCATED)
| "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED)
| [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED)
| 15,200
|
End-to-end Optimized Image Compression
| "We describe an image compression method, consisting of a nonlinear analysis transformation, a unifo(...TRUNCATED)
| "Two things I*d like to see. 1) Specifics about the JPEG and JPEG2000 implementations used, and how (...TRUNCATED)
|
iclr2017
|
OpenReview
| {"criticism":3,"example":0,"importance_and_relevance":0,"materials_and_methods":5,"praise":1,"presen(...TRUNCATED)
| 0.333333
| 0
| 0
| 0.555556
| 0.111111
| 0.111111
| 0.111111
| 0.111111
| 9
| 1.333333
| 1.080814
| 0.252519
| ["Two things I*d like to see. 1) Specifics about the JPEG and JPEG2000 implementations used, and how(...TRUNCATED)
| "Title: END-TO-END OPTIMIZED IMAGE COMPRESSION\n\nAbstract: We describe an image compression method,(...TRUNCATED)
| "I need to provide a peer review of this academic paper on image compression. Let me analyze the pap(...TRUNCATED)
| "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED)
| [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED)
| 9,599
|
End-to-end Optimized Image Compression
| "We describe an image compression method, consisting of a nonlinear analysis transformation, a unifo(...TRUNCATED)
| "This is the most convincing paper on image compression with deep neural networks that I have read s(...TRUNCATED)
|
iclr2017
|
OpenReview
| {"criticism":1,"example":0,"importance_and_relevance":1,"materials_and_methods":5,"praise":2,"presen(...TRUNCATED)
| 0.142857
| 0
| 0.142857
| 0.714286
| 0.285714
| 0.428571
| 0.142857
| 0.285714
| 7
| 2.142857
| 1.57469
| 0.568167
| ["Two things I*d like to see. 1) Specifics about the JPEG and JPEG2000 implementations used, and how(...TRUNCATED)
| "Title: END-TO-END OPTIMIZED IMAGE COMPRESSION\n\nAbstract: We describe an image compression method,(...TRUNCATED)
| "I need to provide a peer review of this academic paper on image compression. Let me analyze the pap(...TRUNCATED)
| "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED)
| [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED)
| 9,599
|
End-to-end Optimized Image Compression
| "We describe an image compression method, consisting of a nonlinear analysis transformation, a unifo(...TRUNCATED)
| "This paper extends an approach to rate-distortion optimization to deep encoders and decoders, and f(...TRUNCATED)
|
iclr2017
|
OpenReview
| {"criticism":3,"example":0,"importance_and_relevance":1,"materials_and_methods":8,"praise":2,"presen(...TRUNCATED)
| 0.230769
| 0
| 0.076923
| 0.615385
| 0.153846
| 0.153846
| 0.153846
| 0.153846
| 13
| 1.538462
| 1.538462
| 0
| ["Two things I*d like to see. 1) Specifics about the JPEG and JPEG2000 implementations used, and how(...TRUNCATED)
| "Title: END-TO-END OPTIMIZED IMAGE COMPRESSION\n\nAbstract: We describe an image compression method,(...TRUNCATED)
| "I need to provide a peer review of this academic paper on image compression. Let me analyze the pap(...TRUNCATED)
| "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED)
| [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED)
| 9,599
|
End-to-end Optimized Image Compression
| "We describe an image compression method, consisting of a nonlinear analysis transformation, a unifo(...TRUNCATED)
| "This is a nice paper that demonstrates an end-to-end trained image compression and decompression sy(...TRUNCATED)
|
iclr2017
|
OpenReview
| {"criticism":0,"example":0,"importance_and_relevance":1,"materials_and_methods":5,"praise":2,"presen(...TRUNCATED)
| 0
| 0
| 0.166667
| 0.833333
| 0.333333
| 0
| 0.5
| 0.166667
| 6
| 2
| 1.226661
| 0.773339
| ["Two things I*d like to see. 1) Specifics about the JPEG and JPEG2000 implementations used, and how(...TRUNCATED)
| "Title: END-TO-END OPTIMIZED IMAGE COMPRESSION\n\nAbstract: We describe an image compression method,(...TRUNCATED)
| "I need to provide a peer review of this academic paper on image compression. Let me analyze the pap(...TRUNCATED)
| "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED)
| [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED)
| 9,599
|
End-to-end Optimized Image Compression
| "We describe an image compression method, consisting of a nonlinear analysis transformation, a unifo(...TRUNCATED)
| "This nicely written paper presents an end-to-end learning method for image compression. By optimizi(...TRUNCATED)
|
iclr2017
|
OpenReview
| {"criticism":0,"example":0,"importance_and_relevance":1,"materials_and_methods":3,"praise":3,"presen(...TRUNCATED)
| 0
| 0
| 0.333333
| 1
| 1
| 0.333333
| 0.333333
| 0
| 3
| 3
| 1.421757
| 1.578243
| ["Two things I*d like to see. 1) Specifics about the JPEG and JPEG2000 implementations used, and how(...TRUNCATED)
| "Title: END-TO-END OPTIMIZED IMAGE COMPRESSION\n\nAbstract: We describe an image compression method,(...TRUNCATED)
| "I need to provide a peer review of this academic paper on image compression. Let me analyze the pap(...TRUNCATED)
| "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED)
| [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED)
| 9,599
|
Optimization as a Model for Few-Shot Learning
| "Though deep neural networks have shown great success in the large data domain, they generally perfo(...TRUNCATED)
| "This work presents an LSTM based meta-learning framework to learn the optimization algorithm of a a(...TRUNCATED)
|
iclr2017
|
OpenReview
| {"criticism":1,"example":0,"importance_and_relevance":2,"materials_and_methods":7,"praise":7,"presen(...TRUNCATED)
| 0.052632
| 0
| 0.105263
| 0.368421
| 0.368421
| 0.052632
| 0.052632
| 0.105263
| 19
| 1.105263
| 0.537096
| 0.568167
| ["This work presents an LSTM based meta-learning framework to learn the optimization algorithm of a (...TRUNCATED)
| "Title: OPTIMIZATION AS A MODEL FOR FEW-SHOT LEARNING\n\nAbstract: Though deep neural networks have (...TRUNCATED)
| "Let me review this scientific paper titled \"OPTIMIZATION AS A MODEL FOR FEW-SHOT LEARNING\" to pro(...TRUNCATED)
| "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED)
| [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED)
| 7,064
|
Optimization as a Model for Few-Shot Learning
| "Though deep neural networks have shown great success in the large data domain, they generally perfo(...TRUNCATED)
| "This paper describes a new approach to meta learning by interpreting the SGD update rule as gated r(...TRUNCATED)
|
iclr2017
|
OpenReview
| {"criticism":1,"example":1,"importance_and_relevance":3,"materials_and_methods":2,"praise":3,"presen(...TRUNCATED)
| 0.2
| 0.2
| 0.6
| 0.4
| 0.6
| 0.4
| 0.2
| 0.2
| 5
| 2.8
| 1.789924
| 1.010076
| ["This work presents an LSTM based meta-learning framework to learn the optimization algorithm of a (...TRUNCATED)
| "Title: OPTIMIZATION AS A MODEL FOR FEW-SHOT LEARNING\n\nAbstract: Though deep neural networks have (...TRUNCATED)
| "Let me review this scientific paper titled \"OPTIMIZATION AS A MODEL FOR FEW-SHOT LEARNING\" to pro(...TRUNCATED)
| "You are a member of the scientific community tasked with peer review. Review the following paper co(...TRUNCATED)
| [{"content":"You are a member of the scientific community tasked with peer review. Review the follow(...TRUNCATED)
| 7,064
|
End of preview. Expand
in Data Studio
README.md exists but content is empty.
- Downloads last month
- 105