Large Language Models

TimeToM: Temporal Space is the Key to Unlocking the Door of Large Language Models’ Theory-of-Mind ACL 2024 Time Travel in LLMs: Tracing Data Contamination in Large Language Models ICLR 2024 Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization? NAACL 2024 TL-CL: Task And Language Incremental Continual Learning EMNLP 2024 TMU-HIT at MLSP 2024: How Well Can GPT-4 Tackle Multilingual Lexical Simplification? NAACL 2024 TOAD: Task-Oriented Automatic Dialogs with Diverse Response Styles ACL 2024 To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty NeurIPS 2024 To Clarify or not to Clarify: A Comparative Analysis of Clarification Classification with Fine-Tuning, Prompt Tuning, and Prompt Engineering NAACL 2024 To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO ICML 2024 To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models ICML 2024 To Err Is Human, How about Medical Large Language Models? Comparing Pre-trained Language Models for Medical Assessment Errors and Reliability COLING 2024 To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering ACL 2024 Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs EMNLP 2024 Tokenization Is More Than Compression EMNLP 2024 Token-length Bias in Minimal-pair Paradigm Datasets COLING 2024 Token-wise Influential Training Data Retrieval for Large Language Models ACL 2024 To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity EMNLP 2024 Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies ACL 2024 Tool-Augmented Reward Modeling ICLR 2024 ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models EMNLP 2024 Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option EMNLP 2024 ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs ICLR 2024 ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages ACL 2024 Too Young to NER: Improving Entity Recognition on Dutch Historical Documents COLING 2024 TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment NeurIPS 2024