Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions

2024-1-1

Source-Free Domain Adaptation for Question Answering with Masked Self-training

2024-1-1

Scope Ambiguities in Large Language Models

2024-1-1

Large Language Models Enable Few-Shot Clustering

2024-1-1

Addressing the Binning Problem in Calibration Assessment through Scalar Annotations

2024-1-1

Decision-Oriented Dialogue for Human-AI Collaboration

2024-1-1

An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation

2024-1-1

Multi-level Shared Knowledge Guided Learning for Knowledge Graph Completion

2024-1-1

Automatically Correcting Large Language Models: <i>Surveying the Landscape of Diverse Automated Correction Strategies</i>

2024-1-1

KoBBQ: Korean Bias Benchmark for Question Answering

2024-1-1

Simultaneous Selection and Adaptation of Source Data via Four-Level Optimization

2024-1-1

What Formal Languages Can Transformers Express? A Survey

2024-1-1

Language Varieties of Italy: Technology Challenges and Opportunities

2024-1-1

The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations

2024-1-1

A Closer Look at Classification Evaluation Metrics and a Critical Reflection of Common Evaluation Practice

2024-1-1

<b>x<scp>comet</scp> </b>: Transparent Machine Translation Evaluation through Fine-grained Error Detection

2024-1-1

Do Multi-Document Summarization Models <i>Synthesize</i>?

2024-1-1

ARN: Analogical Reasoning on Narratives

2024-1-1

Revisiting Meta-evaluation for Grammatical Error Correction

2024-1-1

Context-Aware Machine Translation with Source Coreference Explanation

2024-1-1

The Thai Discourse Treebank: Annotating and Classifying Thai Discourse Connectives

2024-1-1

Visually Grounded Speech Models Have a Mutual Exclusivity Bias

2024-1-1

Evaluating the Ripple Effects of Knowledge Editing in Language Models

2024-1-1

Red Teaming Language Model Detectors with Language Models

2024-1-1

Cultural Adaptation of Recipes

2024-1-1

JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claims

2024-1-1

Explicitly Representing Syntax Improves Sentence-to-Layout Prediction of Unexpected Situations

2024-1-1

Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation

2024-1-1

Computational Complexity of Natural Morphology Revisited

2024-1-1

Unifying Structured Data as Graph for Data-to-Text Pre-Training

2024-1-1

Comparing Humans and Large Language Models on an Experimental Protocol Inventory for Theory of Mind Evaluation (EPITOME)

2024-1-1

SEEP: Training Dynamics Grounds Latent Representation Search for Mitigating Backdoor Poisoning Attacks

2024-1-1

Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design

2024-1-1

CreoleVal: Multilingual Multitask Benchmarks for Creoles

2024-1-1

Semantics of Multiword Expressions in Transformer-Based Models: A Survey

2024-1-1

The Ethics of Automating Legal Actors

2024-1-1

Lost in the Middle: How Language Models Use Long Contexts

2024-1-1

Benchmarking Large Language Models for News Summarization

2024-1-1

What Do Self-Supervised Speech Models Know About Words?

2024-1-1

mGPT: Few-Shot Learners Go Multilingual

2024-1-1

Retrieve What You Need: A Mutual Learning Framework for Open-domain Question Answering

2024-1-1

Geographic Adaptation of Pretrained Language Models

2024-1-1

To Diverge or Not to Diverge: A Morphosyntactic Perspective on Machine Translation vs Human Translation

2024-1-1

Beyond Boundaries: A Human-like Approach for Question Answering over Structured and Unstructured Information Sources

2024-1-1

Can Authorship Attribution Models Distinguish Speakers in Speech Transcripts?

2024-1-1

Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering

2024-1-1

ConvoSense: Overcoming Monotonous Commonsense Inferences for Conversational AI

2024-1-1

<scp>AutoPEFT</scp>: Automatic Configuration Search for Parameter-Efficient Fine-Tuning

2024-1-1

Federated Learning for Exploiting Annotators’ Disagreements in Natural Language Processing

2024-1-1

Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis

2024-1-1