research
∙
09/11/2023
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
We introduce MAmmoTH, a series of open-source large language models (LLM...
share
research
∙
08/07/2023
AgentBench: Evaluating LLMs as Agents
Large Language Models (LLMs) are becoming increasingly smart and autonom...
research
∙
07/29/2023
Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System
We introduce TacoBot, a user-centered task-oriented digital assistant de...
research
∙
07/23/2023
Transformer-based Joint Source Channel Coding for Textual Semantic Communication
The Space-Air-Ground-Sea integrated network calls for more robust and se...
research
∙
07/20/2023
Sensing User's Activity, Channel, and Location with Near-Field Extra-Large-Scale MIMO
This paper proposes a grant-free massive access scheme based on the mill...
research
∙
07/06/2023
Hybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO
This paper focuses on advancing outdoor wireless systems to better suppo...
research
∙
06/30/2023
Biomedical Language Models are Robust to Sub-optimal Tokenization
As opposed to general English, many concepts in biomedical terminology h...
research
∙
06/16/2023
MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing
Text-guided image editing is widely needed in daily life, ranging from p...
research
∙
06/09/2023
Mind2Web: Towards a Generalist Agent for the Web
We introduce Mind2Web, the first dataset for developing and evaluating g...
research
∙
05/26/2023
Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms
This paper studies a new task of federated learning (FL) for semantic pa...
research
∙
05/22/2023
Adaptive Chameleon or Stubborn Sloth: Unraveling the Behavior of Large Language Models in Knowledge Clashes
By providing external information to large language models (LLMs), tool ...
research
∙
05/22/2023
Text-to-SQL Error Correction with Language Models of Code
Despite recent progress in text-to-SQL parsing, current semantic parsers...
research
∙
05/18/2023
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors
Recent work has shown that fine-tuning large language models (LLMs) on l...
research
∙
05/15/2023
Memorization for Good: Encryption with Autoregressive Language Models
Over-parameterized neural language models (LMs) can memorize and recite ...
research
∙
05/10/2023
Automatic Evaluation of Attribution by Large Language Models
A recent focus of large language model (LLM) development, as exemplified...
research
∙
05/07/2023
PiML Toolbox for Interpretable Machine Learning Model Development and Validation
PiML (read π-ML, /`pai.`em.`el/) is an integrated and open-access Python...
research
∙
05/02/2023
Few-shot In-context Learning for Knowledge Base Question Answering
Question answering over knowledge bases is considered a difficult proble...
research
∙
04/05/2023
Quiz-based Knowledge Tracing
Knowledge tracing (KT) aims to assess individuals' evolving knowledge st...
research
∙
12/20/2022
Privacy-Preserving Domain Adaptation of Semantic Parsers
Task-oriented dialogue systems often assist users with personal or confi...
research
∙
12/19/2022
Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments
A key missing ability of current language models (LMs) is grounding to r...
research
∙
12/19/2022
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction
Knowledge graph (KG) link prediction aims to infer new facts based on ex...
research
∙
12/08/2022
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
This study focuses on embodied agents that can follow natural language i...
research
∙
09/25/2022
Hand Hygiene Assessment via Joint Step Segmentation and Key Action Scorer
Hand hygiene is a standard six-step hand-washing action proposed by the ...
research
∙
09/12/2022
Knowledge Base Question Answering: A Semantic Parsing Perspective
Recent advances in deep learning have greatly propelled the research on ...
research
∙
07/11/2022
Bootstrapping a User-Centered Task-Oriented Dialogue System
We present TacoBot, a task-oriented dialogue system built for the inaugu...
research
∙
05/24/2022
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems
In natural language understanding (NLU) production systems, users' evolv...
research
∙
04/17/2022
ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering
Question answering on knowledge bases (KBQA) poses a unique challenge fo...
research
∙
03/16/2022
Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again
The strong few-shot in-context learning capability of large pre-trained ...
research
∙
02/14/2022
One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones
We study the problem of developing autonomous agents that can follow hum...
research
∙
12/09/2021
Compositional Generalization for Natural Language Interfaces to Web APIs
This paper presents Okapi, a new dataset for Natural Language to executa...
research
∙
09/10/2021
ReasonBERT: Pre-trained to Reason with Distant Supervision
We present ReasonBert, a pre-training method that augments language mode...
research
∙
06/03/2021
A Systematic Investigation of KB-Text Embedding Alignment at Scale
Knowledge bases (KBs) and text often contain complementary knowledge: KB...
research
∙
05/29/2021
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition
While users claim to be concerned about privacy, often they do little to...
research
∙
01/15/2021
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing
Computerized Adaptive Testing (CAT) is emerging as a promising testing a...
research
∙
12/15/2020
Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions
In recent years, the field of recommendation systems has attracted incre...
research
∙
11/28/2020
Understanding How BERT Learns to Identify Edits
Pre-trained transformer language models such as BERT are ubiquitous in N...
research
∙
11/16/2020
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases
Existing studies on question answering on knowledge bases (KBQA) mainly ...
research
∙
10/05/2020
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation
Data-to-text generation has recently attracted substantial interests due...
research
∙
09/24/2020
Task-Oriented Dialogue as Dataflow Synthesis
We describe an approach to task-oriented dialogue in which dialogue stat...
research
∙
06/15/2020
Document Classification for COVID-19 Literature
The global pandemic has made it more important than ever to quickly and ...
research
∙
05/02/2020
An Imitation Game for Learning Semantic Parsers from User Interaction
Despite the widely successful applications, bootstrapping and fine-tunin...
research
∙
04/30/2020
Communication-Aware Scheduling of Precedence-Constrained Tasks on Related Machines
Scheduling precedence-constrained tasks is a classical problem that has ...
research
∙
04/22/2020
Logical Natural Language Generation from Open-Domain Tables
Neural natural language generation (NLG) models have recently shown rema...
research
∙
11/27/2019
Decision Propagation Networks for Image Classification
High-level (e.g., semantic) features encoded in the latter layers of con...
research
∙
10/11/2019
Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study
As a promising paradigm, interactive semantic parsing has shown to impro...
research
∙
06/07/2019
EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction
For offering proactive services to students in intelligent education, on...
research
∙
06/03/2019
Global Textual Relation Embedding for Relational Understanding
Pre-trained embeddings such as word embeddings and sentence embeddings a...
research
∙
05/27/2019
QuesNet: A Unified Representation for Heterogeneous Test Questions
Understanding learning materials (e.g. test questions) is a crucial issu...
research
∙
02/27/2019
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection
With the rapid development in deep learning, deep neural networks have b...
research
∙
11/07/2018