Natural Language Processing
46,586 papers (52 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
4
2
8
9
3
6
15
21
21
24
20
18
23
39
31
42
365
1,249
2,179
2,937
3,999
4,088
5,096
5,558
8,132
9,879
2,818
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
TRIBBLE - TRanslating IBerian languages Based on Limited E-resources
EMNLP 2024
Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks
COLING 2024
TRINS: Towards Multimodal Language Models that Can Read
CVPR 2024
Triple-Encoders: Representations That Fire Together, Wire Together
ACL 2024
Triple-R: Automatic Reasoning for Fact Verification Using Language Models
COLING 2024
Triples-to-isiXhosa (T2X): Addressing the Challenges of Low-Resource Agglutinative Data-to-Text Generation
COLING 2024
TRIP NEGOTIATOR: A Travel Persona-aware Reinforced Dialogue Generation Model for Personalized Integrative Negotiation in Tourism
EMNLP 2024
TriSampler: A Better Negative Sampling Principle for Dense Retrieval
AAAI 2024
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale
NAACL 2024
TRoTR: A Framework for Evaluating the Re-contextualization of Text Reuse
EMNLP 2024
TRUE-UIE: Two Universal Relations Unify Information Extraction Tasks
NAACL 2024
TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques
SemEval 2024
Trustful LLMs: Customizing and Grounding Text Generation with knowledge bases and Dual Decoders
EMNLP 2024
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding
NAACL 2024
Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever
ACL 2024
Trustworthiness and Self-awareness in Large Language Models: An Exploration through the Think-Solve-Verify Framework
COLING 2024
Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning
ICML 2024
Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts
ACL 2024
Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning
AAAI 2024
Truth is Universal: Robust Detection of Lies in LLMs
NeurIPS 2024
TruthReader: Towards Trustworthy Document Assistant Chatbot with Reliable Attribution
EMNLP 2024
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space
ACL 2024
TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models
EMNLP 2024
T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering
AAAI 2024
TSU HITS’s Submissions to the WMT 2024 General Machine Translation Shared Task
EMNLP 2024