Hugging Face's logo

Datasets:
Chelsea707
/
conference_ocr

License:
Dataset card Files
xet
 Community
Chelsea707 commited on
Commit
b8e2a76
·
verified ·
1 Parent(s): c9c91f3

Add Batch a6cb49ad-dd26-499e-8f29-3dcc479dc126

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. ICLR/2025/MaxCutPool_ differentiable feature-aware Maxcut for pooling in graph neural networks/4e7250ce-cb5c-437f-9517-c60e5edf1cf5_content_list.json +3 -0
  2. ICLR/2025/MaxCutPool_ differentiable feature-aware Maxcut for pooling in graph neural networks/4e7250ce-cb5c-437f-9517-c60e5edf1cf5_model.json +3 -0
  3. ICLR/2025/MaxCutPool_ differentiable feature-aware Maxcut for pooling in graph neural networks/4e7250ce-cb5c-437f-9517-c60e5edf1cf5_origin.pdf +3 -0
  4. ICLR/2025/MaxCutPool_ differentiable feature-aware Maxcut for pooling in graph neural networks/full.md +0 -0
  5. ICLR/2025/MaxCutPool_ differentiable feature-aware Maxcut for pooling in graph neural networks/images.zip +3 -0
  6. ICLR/2025/MaxCutPool_ differentiable feature-aware Maxcut for pooling in graph neural networks/layout.json +3 -0
  7. ICLR/2025/MaxInfoRL_ Boosting exploration in reinforcement learning through information gain maximization/04512bb7-cc6c-4225-8fe8-a714cbcaa996_content_list.json +3 -0
  8. ICLR/2025/MaxInfoRL_ Boosting exploration in reinforcement learning through information gain maximization/04512bb7-cc6c-4225-8fe8-a714cbcaa996_model.json +3 -0
  9. ICLR/2025/MaxInfoRL_ Boosting exploration in reinforcement learning through information gain maximization/04512bb7-cc6c-4225-8fe8-a714cbcaa996_origin.pdf +3 -0
  10. ICLR/2025/MaxInfoRL_ Boosting exploration in reinforcement learning through information gain maximization/full.md +0 -0
  11. ICLR/2025/MaxInfoRL_ Boosting exploration in reinforcement learning through information gain maximization/images.zip +3 -0
  12. ICLR/2025/MaxInfoRL_ Boosting exploration in reinforcement learning through information gain maximization/layout.json +3 -0
  13. ICLR/2025/Maximizing the Potential of Synthetic Data_ Insights from Random Matrix Theory/570e77d8-f9a4-43aa-ac37-e43f86ad5083_content_list.json +3 -0
  14. ICLR/2025/Maximizing the Potential of Synthetic Data_ Insights from Random Matrix Theory/570e77d8-f9a4-43aa-ac37-e43f86ad5083_model.json +3 -0
  15. ICLR/2025/Maximizing the Potential of Synthetic Data_ Insights from Random Matrix Theory/570e77d8-f9a4-43aa-ac37-e43f86ad5083_origin.pdf +3 -0
  16. ICLR/2025/Maximizing the Potential of Synthetic Data_ Insights from Random Matrix Theory/full.md +0 -0
  17. ICLR/2025/Maximizing the Potential of Synthetic Data_ Insights from Random Matrix Theory/images.zip +3 -0
  18. ICLR/2025/Maximizing the Potential of Synthetic Data_ Insights from Random Matrix Theory/layout.json +3 -0
  19. ICLR/2025/McEval_ Massively Multilingual Code Evaluation/20dffcbd-e7ab-4639-ae0b-2a73802d9043_content_list.json +3 -0
  20. ICLR/2025/McEval_ Massively Multilingual Code Evaluation/20dffcbd-e7ab-4639-ae0b-2a73802d9043_model.json +3 -0
  21. ICLR/2025/McEval_ Massively Multilingual Code Evaluation/20dffcbd-e7ab-4639-ae0b-2a73802d9043_origin.pdf +3 -0
  22. ICLR/2025/McEval_ Massively Multilingual Code Evaluation/full.md +0 -0
  23. ICLR/2025/McEval_ Massively Multilingual Code Evaluation/images.zip +3 -0
  24. ICLR/2025/McEval_ Massively Multilingual Code Evaluation/layout.json +3 -0
  25. ICLR/2025/MeToken_ Uniform Micro-environment Token Boosts Post-Translational Modification Prediction/dc0b7358-89c8-4348-a154-b6c0027c1ac3_content_list.json +3 -0
  26. ICLR/2025/MeToken_ Uniform Micro-environment Token Boosts Post-Translational Modification Prediction/dc0b7358-89c8-4348-a154-b6c0027c1ac3_model.json +3 -0
  27. ICLR/2025/MeToken_ Uniform Micro-environment Token Boosts Post-Translational Modification Prediction/dc0b7358-89c8-4348-a154-b6c0027c1ac3_origin.pdf +3 -0
  28. ICLR/2025/MeToken_ Uniform Micro-environment Token Boosts Post-Translational Modification Prediction/full.md +0 -0
  29. ICLR/2025/MeToken_ Uniform Micro-environment Token Boosts Post-Translational Modification Prediction/images.zip +3 -0
  30. ICLR/2025/MeToken_ Uniform Micro-environment Token Boosts Post-Translational Modification Prediction/layout.json +3 -0
  31. ICLR/2025/Measuring And Improving Engagement of Text-to-Image Generation Models/9c2bf501-fa26-401f-94da-b417218d30e6_content_list.json +3 -0
  32. ICLR/2025/Measuring And Improving Engagement of Text-to-Image Generation Models/9c2bf501-fa26-401f-94da-b417218d30e6_model.json +3 -0
  33. ICLR/2025/Measuring And Improving Engagement of Text-to-Image Generation Models/9c2bf501-fa26-401f-94da-b417218d30e6_origin.pdf +3 -0
  34. ICLR/2025/Measuring And Improving Engagement of Text-to-Image Generation Models/full.md +0 -0
  35. ICLR/2025/Measuring And Improving Engagement of Text-to-Image Generation Models/images.zip +3 -0
  36. ICLR/2025/Measuring And Improving Engagement of Text-to-Image Generation Models/layout.json +3 -0
  37. ICLR/2025/Measuring And Improving Persuasiveness Of Large Language Models/3e1ed1b1-ab60-4c0f-9f4a-61c12d4acf22_content_list.json +3 -0
  38. ICLR/2025/Measuring And Improving Persuasiveness Of Large Language Models/3e1ed1b1-ab60-4c0f-9f4a-61c12d4acf22_model.json +3 -0
  39. ICLR/2025/Measuring And Improving Persuasiveness Of Large Language Models/3e1ed1b1-ab60-4c0f-9f4a-61c12d4acf22_origin.pdf +3 -0
  40. ICLR/2025/Measuring And Improving Persuasiveness Of Large Language Models/full.md +0 -0
  41. ICLR/2025/Measuring And Improving Persuasiveness Of Large Language Models/images.zip +3 -0
  42. ICLR/2025/Measuring And Improving Persuasiveness Of Large Language Models/layout.json +3 -0
  43. ICLR/2025/Measuring Non-Adversarial Reproduction of Training Data in Large Language Models/df1402d1-ece6-497c-b33b-95cf9bbf253a_content_list.json +3 -0
  44. ICLR/2025/Measuring Non-Adversarial Reproduction of Training Data in Large Language Models/df1402d1-ece6-497c-b33b-95cf9bbf253a_model.json +3 -0
  45. ICLR/2025/Measuring Non-Adversarial Reproduction of Training Data in Large Language Models/df1402d1-ece6-497c-b33b-95cf9bbf253a_origin.pdf +3 -0
  46. ICLR/2025/Measuring Non-Adversarial Reproduction of Training Data in Large Language Models/full.md +0 -0
  47. ICLR/2025/Measuring Non-Adversarial Reproduction of Training Data in Large Language Models/images.zip +3 -0
  48. ICLR/2025/Measuring Non-Adversarial Reproduction of Training Data in Large Language Models/layout.json +3 -0
  49. ICLR/2025/Measuring memorization in RLHF for code completion/f57637f2-5699-453c-be14-1d7217ef2836_content_list.json +3 -0
  50. ICLR/2025/Measuring memorization in RLHF for code completion/f57637f2-5699-453c-be14-1d7217ef2836_model.json +3 -0
ICLR/2025/MaxCutPool_ differentiable feature-aware Maxcut for pooling in graph neural networks/4e7250ce-cb5c-437f-9517-c60e5edf1cf5_content_list.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:756d2986b9ef07976a1a6b1da7ea9abe76f5745df2d407dabd625634ab49122d
3
+ size 170913
ICLR/2025/MaxCutPool_ differentiable feature-aware Maxcut for pooling in graph neural networks/4e7250ce-cb5c-437f-9517-c60e5edf1cf5_model.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4ca562e7764523b88b64ca6551acc85aef6132e4df8ca2465b2d80737f852aaf
3
+ size 215255
ICLR/2025/MaxCutPool_ differentiable feature-aware Maxcut for pooling in graph neural networks/4e7250ce-cb5c-437f-9517-c60e5edf1cf5_origin.pdf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3148499e536965e56aad3ed4bc4e2098aadf824487d718c8a19646a5573af922
3
+ size 1424715
ICLR/2025/MaxCutPool_ differentiable feature-aware Maxcut for pooling in graph neural networks/full.md ADDED
The diff for this file is too large to render. See raw diff
 
ICLR/2025/MaxCutPool_ differentiable feature-aware Maxcut for pooling in graph neural networks/images.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:811afbc4781d8f1cf9db2f047af0b62e12635e4a304e33c3a57008ca12709409
3
+ size 1065879
ICLR/2025/MaxCutPool_ differentiable feature-aware Maxcut for pooling in graph neural networks/layout.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:78577ad04739b9ad4b5788d679d1d5f85547a2883b80ba301a5513d45d105395
3
+ size 1002730
ICLR/2025/MaxInfoRL_ Boosting exploration in reinforcement learning through information gain maximization/04512bb7-cc6c-4225-8fe8-a714cbcaa996_content_list.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e50fcb753a3d87ad824f5f22d1fff7eb79f8c9291d9ce447f7dee87cc4ca7ea4
3
+ size 192424
ICLR/2025/MaxInfoRL_ Boosting exploration in reinforcement learning through information gain maximization/04512bb7-cc6c-4225-8fe8-a714cbcaa996_model.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1b9a8baf2b2ba9c0e09c195c7211e497a8a1a3df717055f7022ffbee1c548447
3
+ size 227877
ICLR/2025/MaxInfoRL_ Boosting exploration in reinforcement learning through information gain maximization/04512bb7-cc6c-4225-8fe8-a714cbcaa996_origin.pdf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae24463ba9e00d7ef630073a98cb21ca057422bbc8f2c8616eb95e6a4dceb34f
3
+ size 5168486
ICLR/2025/MaxInfoRL_ Boosting exploration in reinforcement learning through information gain maximization/full.md ADDED
The diff for this file is too large to render. See raw diff
 
ICLR/2025/MaxInfoRL_ Boosting exploration in reinforcement learning through information gain maximization/images.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c6b7190c16603e62e2585a6587a19adf0efe5b317177fb5b10a54a1fedbedbec
3
+ size 1823194
ICLR/2025/MaxInfoRL_ Boosting exploration in reinforcement learning through information gain maximization/layout.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c7b148ca8a1e50c621db719da01045d2bf3d0932a26369cb06e8649caf290453
3
+ size 1101519
ICLR/2025/Maximizing the Potential of Synthetic Data_ Insights from Random Matrix Theory/570e77d8-f9a4-43aa-ac37-e43f86ad5083_content_list.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8a1c7f399086ada1ab2b1cab2c40655c312c2afb979afab27a6dfea4927957e1
3
+ size 278877
ICLR/2025/Maximizing the Potential of Synthetic Data_ Insights from Random Matrix Theory/570e77d8-f9a4-43aa-ac37-e43f86ad5083_model.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:125cd2fca9c6ca72e1c41599e1677ee8a08ae8281ef468394cb0f7537385c393
3
+ size 314992
ICLR/2025/Maximizing the Potential of Synthetic Data_ Insights from Random Matrix Theory/570e77d8-f9a4-43aa-ac37-e43f86ad5083_origin.pdf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e700c4724f5b048f77e6086328bbb89606eaf45293a1747d36f3babe6d0a263
3
+ size 947712
ICLR/2025/Maximizing the Potential of Synthetic Data_ Insights from Random Matrix Theory/full.md ADDED
The diff for this file is too large to render. See raw diff
 
ICLR/2025/Maximizing the Potential of Synthetic Data_ Insights from Random Matrix Theory/images.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ad62e127bd0abeb599331b3823adba19d75915022613274b9d65fc17a0f8469b
3
+ size 2824906
ICLR/2025/Maximizing the Potential of Synthetic Data_ Insights from Random Matrix Theory/layout.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bec67f6d608ad791cec495e6f745d4fa1b91649ac16136204f71f3aeb51fadf5
3
+ size 1310485
ICLR/2025/McEval_ Massively Multilingual Code Evaluation/20dffcbd-e7ab-4639-ae0b-2a73802d9043_content_list.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b1901a2ba428d11a4ea39c9d7749dbe94ded94e5f6c0347d5cad17b9b313a461
3
+ size 182629
ICLR/2025/McEval_ Massively Multilingual Code Evaluation/20dffcbd-e7ab-4639-ae0b-2a73802d9043_model.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b7c8ee9e9c99919db78daf2ef01641417aeb42bd60786e478a4fc44728985b0c
3
+ size 214365
ICLR/2025/McEval_ Massively Multilingual Code Evaluation/20dffcbd-e7ab-4639-ae0b-2a73802d9043_origin.pdf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7612f78e4763c940162268949b1396cbb8e1afc4cc9e4e26338efcf1533991c3
3
+ size 4560280
ICLR/2025/McEval_ Massively Multilingual Code Evaluation/full.md ADDED
The diff for this file is too large to render. See raw diff
 
ICLR/2025/McEval_ Massively Multilingual Code Evaluation/images.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:60285097667b498daa13572246e472916a1789c295b8b3b5e338f4d141074653
3
+ size 2727595
ICLR/2025/McEval_ Massively Multilingual Code Evaluation/layout.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:baff8fc987248769e3c39de1114fbf3f318b9dac6a49b1ef529e1479c154022d
3
+ size 681745
ICLR/2025/MeToken_ Uniform Micro-environment Token Boosts Post-Translational Modification Prediction/dc0b7358-89c8-4348-a154-b6c0027c1ac3_content_list.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7f5f4bfaba6529e92d1c998b1d8a66a98e5c78cf70ff978187d3db2b3d459a98
3
+ size 157420
ICLR/2025/MeToken_ Uniform Micro-environment Token Boosts Post-Translational Modification Prediction/dc0b7358-89c8-4348-a154-b6c0027c1ac3_model.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b05e0e66c82d793045c5d74947f94230c71fca5848922d3766c2b2106ab267b
3
+ size 194784
ICLR/2025/MeToken_ Uniform Micro-environment Token Boosts Post-Translational Modification Prediction/dc0b7358-89c8-4348-a154-b6c0027c1ac3_origin.pdf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b2eb4602a01dfd18da6dc9fddf56de2aff46feb49fa79939982f81e685af4d50
3
+ size 4340308
ICLR/2025/MeToken_ Uniform Micro-environment Token Boosts Post-Translational Modification Prediction/full.md ADDED
The diff for this file is too large to render. See raw diff
 
ICLR/2025/MeToken_ Uniform Micro-environment Token Boosts Post-Translational Modification Prediction/images.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1c0b496559071c0ae4c79bcb1f41d2c4b60efa8ce873890af248c54adbe6c91a
3
+ size 1769243
ICLR/2025/MeToken_ Uniform Micro-environment Token Boosts Post-Translational Modification Prediction/layout.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f86512c39933b02a31062d92816e21e0be300c661d8e3a601abd1ccf64755ac
3
+ size 756143
ICLR/2025/Measuring And Improving Engagement of Text-to-Image Generation Models/9c2bf501-fa26-401f-94da-b417218d30e6_content_list.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:caf2037a2bb78b7e19511ab951febae6c0c4db14167b651f90e15298e6875730
3
+ size 197669
ICLR/2025/Measuring And Improving Engagement of Text-to-Image Generation Models/9c2bf501-fa26-401f-94da-b417218d30e6_model.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1de5f47acc3076a2332d7a59ce85cee5a12fc39ff002ac78f26ea096792601c4
3
+ size 239398
ICLR/2025/Measuring And Improving Engagement of Text-to-Image Generation Models/9c2bf501-fa26-401f-94da-b417218d30e6_origin.pdf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f0fc478e5d2a48670ab99d96eb17198adf2e4147764b5a2c37a5f4d91770baa8
3
+ size 12289905
ICLR/2025/Measuring And Improving Engagement of Text-to-Image Generation Models/full.md ADDED
The diff for this file is too large to render. See raw diff
 
ICLR/2025/Measuring And Improving Engagement of Text-to-Image Generation Models/images.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e30fd82326bae5f2ef686c2044fed99102c761e0ac168512fc0e20d16e1637aa
3
+ size 1875940
ICLR/2025/Measuring And Improving Engagement of Text-to-Image Generation Models/layout.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:db7589865324ea00f647a4adbc75f9d8a227202da737460d46c38b2fd4213d1e
3
+ size 848886
ICLR/2025/Measuring And Improving Persuasiveness Of Large Language Models/3e1ed1b1-ab60-4c0f-9f4a-61c12d4acf22_content_list.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f3620d18f5472e1c205cd9d3008a71e0277c8f005c48db77788566a59c5b9173
3
+ size 353901
ICLR/2025/Measuring And Improving Persuasiveness Of Large Language Models/3e1ed1b1-ab60-4c0f-9f4a-61c12d4acf22_model.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fcf8763aa93d5616883fc0470d6a74c12ee271617bb1e707143253473ce52197
3
+ size 422801
ICLR/2025/Measuring And Improving Persuasiveness Of Large Language Models/3e1ed1b1-ab60-4c0f-9f4a-61c12d4acf22_origin.pdf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:549a645be4d4628a3548c193ba9bb575ba44956752d8aa4e94c9040700478e2b
3
+ size 5797070
ICLR/2025/Measuring And Improving Persuasiveness Of Large Language Models/full.md ADDED
The diff for this file is too large to render. See raw diff
 
ICLR/2025/Measuring And Improving Persuasiveness Of Large Language Models/images.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24c14dc90f29816e74bca161c57ca952150c03da27c006a6be672aa5edbba2d0
3
+ size 1897452
ICLR/2025/Measuring And Improving Persuasiveness Of Large Language Models/layout.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f1773b65bf49b42d51ad45342e87bb20ba9e785bf444219523e4623bde36749
3
+ size 1440865
ICLR/2025/Measuring Non-Adversarial Reproduction of Training Data in Large Language Models/df1402d1-ece6-497c-b33b-95cf9bbf253a_content_list.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6216ffb3143e7f219af4306f3bcae63260464228c067b1a2548c70870b9d50b6
3
+ size 215287
ICLR/2025/Measuring Non-Adversarial Reproduction of Training Data in Large Language Models/df1402d1-ece6-497c-b33b-95cf9bbf253a_model.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5ba0507c49006cee4152e91b226a0e88404fe0ccf5d9656fcd78b2fa3daa12ac
3
+ size 304669
ICLR/2025/Measuring Non-Adversarial Reproduction of Training Data in Large Language Models/df1402d1-ece6-497c-b33b-95cf9bbf253a_origin.pdf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e2153a32f4707b22a56b5301e6a9b7a2ef8b8256b8e300c171a26316572f43fa
3
+ size 824819
ICLR/2025/Measuring Non-Adversarial Reproduction of Training Data in Large Language Models/full.md ADDED
The diff for this file is too large to render. See raw diff
 
ICLR/2025/Measuring Non-Adversarial Reproduction of Training Data in Large Language Models/images.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9ef5da8bd22b541dac0c77148805cb6bd2c86841dd900195f989b02b53d732aa
3
+ size 821748
ICLR/2025/Measuring Non-Adversarial Reproduction of Training Data in Large Language Models/layout.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7b287d4cf642a18a720e0d9ae44c81431b84ba2494d419e4c312ccc1a80ee326
3
+ size 1235388
ICLR/2025/Measuring memorization in RLHF for code completion/f57637f2-5699-453c-be14-1d7217ef2836_content_list.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7042715b5dbec741908a69516134797ab844b6ab3acdc79c7b8a80ad03a28da4
3
+ size 147656
ICLR/2025/Measuring memorization in RLHF for code completion/f57637f2-5699-453c-be14-1d7217ef2836_model.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:148d11677ff2c8d117cd29a33bb17cf950b16ef80033878f6cdd814b14c8754d
3
+ size 171311