research
∙
09/15/2023
LASER: LLM Agent with State-Space Exploration for Web Navigation
Large language models (LLMs) have been successfully adapted for interact...
share
research
∙
09/07/2023
Space-Time Shift Keying Aided OTFS Modulation for Orthogonal Multiple Access
Space-time shift keying-aided orthogonal time frequency space modulation...
research
∙
07/19/2023
Thrust: Adaptively Propels Large Language Models with External Knowledge
Although large-scale pre-trained language models (PTLMs) are shown to en...
research
∙
07/08/2023
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation
Recently developed large language models have achieved remarkable succes...
research
∙
07/06/2023
Performance Analysis and Approximate Message Passing Detection of Orthogonal Time Sequency Multiplexing Modulation
In orthogonal time sequency multiplexing (OTSM) modulation, the informat...
research
∙
06/29/2023
Towards Open-Domain Topic Classification
We introduce an open-domain topic classification system that accepts use...
research
∙
05/24/2023
Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning
Event temporal reasoning aims at identifying the temporal relations betw...
research
∙
05/24/2023
PIVOINE: Instruction Tuning for Open-world Information Extraction
We consider the problem of Open-world Information Extraction (Open-world...
research
∙
05/24/2023
Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations
Traditional sentence embedding models encode sentences into vector repre...
research
∙
05/22/2023
CEO: Corpus-based Open-Domain Event Ontology Induction
Existing event-centric NLP models often only apply to the pre-defined on...
research
∙
05/22/2023
Open-Domain Event Graph Induction for Mitigating Framing Bias
Researchers have proposed various information extraction (IE) techniques...
research
∙
05/17/2023
Low Complexity Detection of Spatial Modulation Aided OTFS in Doubly-Selective Channels
A spatial modulation-aided orthogonal time frequency space (SM-OTFS) sch...
research
∙
05/04/2023
Faithful Question Answering with Monte-Carlo Planning
Although large language models demonstrate remarkable question-answering...
research
∙
02/09/2023
Global Constraints with Prompting for Zero-Shot Event Argument Classification
Determining the role of event arguments is a crucial subtask of event ex...
research
∙
12/31/2022
Rethinking with Retrieval: Faithful Large Language Model Inference
Despite the success of large language models (LLMs) in various natural l...
research
∙
12/06/2022
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion
Knowledge base completion (KBC) aims to predict the missing links in kno...
research
∙
11/13/2022
Build generally reusable agent-environment interaction models
This paper tackles the problem of how to pre-train a model and make it g...
research
∙
11/09/2022
Efficient Zero-shot Event Extraction with Context-Definition Alignment
Event extraction (EE) is the task of identifying interested event mentio...
research
∙
11/07/2022
Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach
Double-blind peer review mechanism has become the skeleton of academic r...
research
∙
11/01/2022
MDC Enhanced IoT Networks: Network Modeling and Performance Analysis
As a promising architecture, Mobile Data Collector (MDC) enhanced Intern...
research
∙
10/28/2022
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
Fully-parametric language models generally require a huge number of mode...
research
∙
10/22/2022
MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure
In this paper, we propose a comprehensive benchmark to investigate model...
research
∙
10/22/2022
Salience Allocation as Guidance for Abstractive Summarization
Abstractive summarization models typically learn to capture the salient ...
research
∙
10/21/2022
Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination
Large-scale pretrained language models have made significant advances in...
research
∙
10/14/2022
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population
Commonsense Knowledge Base (CSKB) Population aims at reasoning over unse...
research
∙
10/13/2022
SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller
In this paper, we propose a new task of sub-event generation for an unse...
research
∙
10/12/2022
CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm
Recently, the community has achieved substantial progress on many common...
research
∙
10/10/2022
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction
In this paper, we seek to improve the faithfulness of TempRel extraction...
research
∙
10/08/2022
Are All Steps Equally Important? Benchmarking Essentiality Detection of Events
Natural language often describes events in different granularities, such...
research
∙
05/29/2022
VD-PCR: Improving Visual Dialog with Pronoun Coreference Resolution
The visual dialog task requires an AI agent to interact with humans in m...
research
∙
05/05/2022
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation
Knowing the reasoning chains from knowledge to the predicted answers can...
research
∙
04/27/2022
Query2Particles: Knowledge Graph Reasoning with Particle Embeddings
Answering complex logical queries on incomplete knowledge graphs (KGs) w...
research
∙
01/31/2022
Causal Inference Principles for Reasoning about Commonsense Causality
Commonsense causality reasoning (CCR) aims at identifying plausible caus...
research
∙
01/05/2022
ARCLIN: Automated API Mention Resolution for Unformatted Texts
Online technical forums (e.g., StackOverflow) are popular platforms for ...
research
∙
09/21/2021
A Simple Unified Framework for Anomaly Detection in Deep Reinforcement Learning
Abnormal states in deep reinforcement learning (RL) are states that are ...
research
∙
09/13/2021
Learning Constraints and Descriptive Segmentation for Subevent Detection
Event mentions in text correspond to real-world events of varying degree...
research
∙
09/10/2021
Exophoric Pronoun Resolution in Dialogues with Topic Regularization
Resolving pronouns to their referents has long been studied as a fundame...
research
∙
04/16/2021
Back to Square One: Bias Detection, Training and Commonsense Disentanglement in the Winograd Schema
The Winograd Schema (WS) has been proposed as a test for measuring commo...
research
∙
04/05/2021
ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities
Commonsense knowledge acquisition and reasoning have long been a core ar...
research
∙
01/27/2021
Joint Coreference Resolution and Character Linking for Multiparty Conversation
Character linking, the task of linking mentioned people in conversations...
research
∙
01/01/2021
DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge
Commonsense knowledge is crucial for artificial intelligence systems to ...
research
∙
12/31/2020
CoCoLM: COmplex COmmonsense Enhanced Language Model
Large-scale pre-trained language models have demonstrated strong knowled...
research
∙
12/30/2020
Unsupervised Label-aware Event Trigger and Argument Classification
Identifying events and mapping them to pre-defined event types has long ...
research
∙
12/13/2020
Learning Contextual Causality from Time-consecutive Images
Causality knowledge is crucial for many artificial intelligence systems....
research
∙
10/16/2020
Analogous Process Structure Induction for Sub-event Sequence Prediction
Computational and cognitive studies of event understanding suggest that ...
research
∙
10/13/2020
Joint Constrained Learning for Event-Event Relation Extraction
Understanding natural language involves recognizing how multiple event m...
research
∙
10/13/2020
"What Are You Trying to Do?" Semantic Typing of Event Processes
This paper studies a new cognitively motivated semantic typing task, mul...
research
∙
10/10/2020
When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models
We address hypernymy detection, i.e., whether an is-a relationship exist...
research
∙
09/27/2020
A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference Resolution
Pronoun Coreference Resolution (PCR) is the task of resolving pronominal...
research
∙
09/18/2020
