Skip to main content ->
Ai2

Research - Papers

Explore a selection of our published work on a variety of key research challenges in AI.

Filter papers

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories

Ben BoginKejuan YangShashank GuptaTushar Khot
2024
EMNLP

Given that Large Language Models (LLMs) have made significant progress in writing code, can they now be used to autonomously reproduce results from research repositories? Such a capability would be… 

AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents

Harsh TrivediTushar KhotMareike HartmannNiranjan Balasubramanian
2024
ACL

Autonomous agents that address day-to-day digital tasks (e.g., ordering groceries for a household), must not only operate multiple apps (e.g., notes, messaging, shopping app) via APIs, but also… 

Mitigating Barriers to Public Social Interaction with Meronymous Communication

Nouran SolimanHyeonsu B. KangMatthew LatzkeDavid R. Karger
2024
CHI

In communities with social hierarchies, fear of judgment can discourage communication. While anonymity may alleviate some social pressure, fully anonymous spaces enable toxic behavior and hide the… 

WildChat: 1M ChatGPT Interaction Logs in the Wild

Wenting ZhaoXiang RenJ. HesselYuntian Deng
2024
ICLR

Chatbots such as GPT-4 and ChatGPT are now serving millions of users. Despite their widespread use, there remains a lack of public datasets showcasing how these tools are used by a population of… 

WildChat: 1M ChatGPT Interaction Logs in the Wild

Wenting ZhaoXiang RenJ. HesselYuntian Deng
2024
ICLR

Chatbots such as GPT-4 and ChatGPT are now serving millions of users. Despite their widespread use, there remains a lack of public datasets showcasing how these tools are used by a population of… 

OLMo: Accelerating the Science of Language Models

Dirk GroeneveldIz BeltagyPete WalshHanna Hajishirzi
2024
ACL 2024

Language models (LMs) have become ubiquitous in both NLP research and in commercial product offerings. As their commercial importance has surged, the most powerful models have become closed off,… 

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Luca SoldainiRodney KinneyAkshita BhagiaKyle Lo
2024
ACL 2024

Information about pretraining corpora used to train the current best-performing language models is seldom discussed: commercial models rarely detail their data, and even open models are often… 

IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions

Wenhao YuMeng JiangPeter ClarkAshish Sabharwal
2023
EMNLP

Although counterfactual reasoning is a fundamental aspect of intelligence, the lack of large-scale counterfactual open-domain question-answering (QA) benchmarks makes it difficult to evaluate and… 

PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents

Kyle LoZejiang ShenBenjamin NewmanLuca Soldaini
2023
EMNLP

Despite growing interest in applying natural language processing (NLP) and computer vision (CV) models to the scholarly domain, scientific documents remain challenging to work with. They’re often in… 

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization

Hyunwoo KimJack HesselLiwei JiangYejin Choi
2023
EMNLP

We present SODA : the first publicly available, million-scale high-quality social dialogue dataset. Using SODA , we train COSMO : a generalizable conversation agent outperforming previous… 

1-10Next