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📄 ACL 2024: The Missing Papers
📄 ACL 2024: The Missing Papers
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Apparently, some papers from the ACL 2024 are still not listed in the ACL Anthology. While this issue will hopefully be fixed soon, we should give those papers additional spotlight.
Apparently, some papers from the ACL 2024 are still not listed in the ACL Anthology. While this issue will hopefully be fixed soon, we should give those papers additional spotlight.
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Some of my favorites:
Some of my favorites:
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1. Dolma is an English corpus that encompasses 3 trillion tokens. Additionally, it is accompanied by an exceptional software package that consdierably advances the state-of-the-art in preparing data for LLM pretraining. (Source: I am currently using Dolma.)
1. Dolma is an English corpus that encompasses 3 trillion tokens. Additionally, it is accompanied by an exceptional software package that consdierably advances the state-of-the-art in preparing data for LLM pretraining. (Source: I am currently using Dolma.)
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https://huggingface.co/papers/2402.00159
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2402.00159
https://huggingface.co/papers/2402.00159
Dolma: an Open Corpus of Three Trillion Tokens for Language Model
  Pretraining Research (2402.00159)
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2. In the paper "Same Task, More Tokens: the Impact of Input Length on
2. In the paper "Same Task, More Tokens: the Impact of Input Length on
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the Reasoning Performance of Large Language Models", the authors show how extending the context length impacts an LLM's reasoning performance. I asked myself a similar question a few months ago, and therefore this paper is highly interesting to me.
the Reasoning Performance of Large Language Models", the authors show how extending the context length impacts an LLM's reasoning performance. I asked myself a similar question a few months ago, and therefore this paper is highly interesting to me.
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https://huggingface.co/papers/2402.14848
paper
2402.14848
https://huggingface.co/papers/2402.14848
Same Task, More Tokens: the Impact of Input Length on the Reasoning
  Performance of Large Language Models (2402.14848)
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This was brought to my attention through a Linkedin post by 
This was brought to my attention through a Linkedin post by 
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@ShayeghB
ShayeghB
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, who is also affected:
, who is also affected:
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https://huggingface.co/papers/2403.00143
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2403.00143
https://huggingface.co/papers/2403.00143
Ensemble-Based Unsupervised Discontinuous Constituency Parsing by Tree
  Averaging (2403.00143)
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View all the missing papers here: 
View all the missing papers here: 
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https://theshayegh.github.io/ACL2024MissingPapers/
https://theshayegh.github.io/ACL2024MissingPapers/
📄 ACL 2024: The Missing Papers

Apparently, some papers from the ACL 2024 are still not listed in the ACL Anthology. While this issue will hopefully be fixed soon, we should give those papers additional spotlight.

Some of my favorites:

1. Dolma is an English corpus that encompasses 3 trillion tokens. Additionally, it is accompanied by an exceptional software package that consdierably advances the state-of-the-art in preparing data for LLM pretraining. (Source: I am currently using Dolma.)
https://huggingface.co/papers/2402.00159

2. In the paper "Same Task, More Tokens: the Impact of Input Length on
the Reasoning Performance of Large Language Models", the authors show how extending the context length impacts an LLM's reasoning performance. I asked myself a similar question a few months ago, and therefore this paper is highly interesting to me.
https://huggingface.co/papers/2402.14848

This was brought to my attention through a Linkedin post by @ShayeghB, who is also affected:
https://huggingface.co/papers/2403.00143

View all the missing papers here: 
https://theshayegh.github.io/ACL2024MissingPapers/
👀
John6666