Large Language Models

Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout EMNLP 2024 Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language Models IJCAI 2024 Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning ACL 2024 Towards Tool Use Alignment of Large Language Models EMNLP 2024 Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models ACL 2024 Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models EACL 2024 Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens NeurIPS 2024 Towards Understanding Inductive Bias in Transformers: A View From Infinity ICML 2024 Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis EMNLP 2024 Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond ACL 2024 Towards Verifiable Text Generation with Evolving Memory and Self-Reflection EMNLP 2024 TOWER: Tree Organized Weighting for Evaluating Complex Instructions EMNLP 2024 Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs NeurIPS 2024 Tracking the perspectives of interacting language models EMNLP 2024 Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models EMNLP 2024 Trainable Transformer in Transformer ICML 2024 Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning NeurIPS 2024 Training-Free Long-Context Scaling of Large Language Models ICML 2024 Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts NeurIPS 2024 Training-free Video Temporal Grounding using Large-scale Pre-trained Models ECCV 2024 Training Language Models to Generate Text with Citations via Fine-grained Rewards ACL 2024 Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning ICML 2024 TRAM: Benchmarking Temporal Reasoning for Large Language Models ACL 2024 Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking ACL 2024 Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context ICML 2024