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08/07/2023
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
Large language models (LLMs) have demonstrated remarkable generalizabili...
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05/28/2023
Robust Natural Language Understanding with Residual Attention Debiasing
Natural language understanding (NLU) models often suffer from unintended...
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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...
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05/24/2023
A Causal View of Entity Bias in (Large) Language Models
Entity bias widely affects pretrained (large) language models, causing t...
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05/22/2023
EntRED: Benchmarking Relation Extraction with Fewer Shortcuts
Entity names play an effective role in relation extraction (RE) and ofte...
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05/06/2023
Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation
Manipulating objects without grasping them is an essential component of ...
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03/20/2023
Context-faithful Prompting for Large Language Models
Large language models (LLMs) encode parametric knowledge about world fac...
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12/21/2022
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
Relation extraction (RE), which has relied on structurally annotated cor...
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12/21/2022
Multi-hop Evidence Retrieval for Cross-document Relation Extraction
Relation Extraction (RE) has been extended to cross-document scenarios b...
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11/02/2022
Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity
A simple gripper can solve more complex manipulation tasks if it can uti...
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10/10/2022
Parameter-Efficient Tuning with Special Token Adaptation
Parameter-efficient tuning aims at updating only a small subset of param...
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05/19/2022
Summarization as Indirect Supervision for Relation Extraction
Relation extraction (RE) models have been challenged by their reliance o...
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05/08/2022
GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction
Entity types and textual context are essential properties for sentence-l...
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05/08/2022
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis
Recent literature focuses on utilizing the entity information in the sen...
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04/29/2022
Answer Consolidation: Formulation and Benchmarking
Current question answering (QA) systems primarily consider the single-an...
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04/12/2022
Offline Distillation for Robot Lifelong Learning with Imbalanced Experience
Robots will experience non-stationary environment dynamics throughout th...
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12/16/2021
δ-SAM: Sharpness-Aware Minimization with Dynamic Reweighting
Deep neural networks are often overparameterized and may not easily achi...
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04/18/2021
Contrastive Out-of-Distribution Detection for Pretrained Transformers
Pretrained transformers achieve remarkable performance when the test dat...
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04/17/2021
Learning from Noisy Labels for Entity-Centric Information Extraction
Recent efforts for information extraction have relied on many deep neura...
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03/16/2021
Lyapunov Barrier Policy Optimization
Deploying Reinforcement Learning (RL) agents in the real-world require t...
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02/02/2021
An Improved Baseline for Sentence-level Relation Extraction
Sentence-level relation extraction (RE) aims at identifying the relation...
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11/14/2020
PLAS: Latent Action Space for Offline Reinforcement Learning
The goal of offline reinforcement learning is to learn a policy from a f...
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10/21/2020
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
Document-level relation extraction (RE) poses new challenges compared to...
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08/23/2020
Learning Off-Policy with Online Planning
We propose Learning Off-Policy with Online Planning (LOOP), combining th...
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08/21/2020
A Variational Approach to Unsupervised Sentiment Analysis
In this paper, we propose a variational approach to unsupervised sentime...
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11/10/2019
Improving BERT Fine-tuning with Embedding Normalization
Large pre-trained sentence encoders like BERT start a new chapter in nat...
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11/04/2019
Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations
Deep neural networks usually require massive labeled data, which restric...
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11/04/2019
Learning to Annotate: Modularizing Data Augmentation for TextClassifiers with Natural Language Explanations
Deep neural networks usually require massive labeled data, which restric...
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09/05/2019
Neural Rule Grounding for Low-Resource Relation Extraction
While deep neural models have gained successes on information extraction...
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07/26/2019
Environment Probing Interaction Policies
A key challenge in reinforcement learning (RL) is environment generaliza...
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04/10/2019