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Papers

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective ICML 2025 Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models ACL 2025 Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling ACL 2025 Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG ICLR 2025 Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment ICLR 2025 Retrieval Augmented Time Series Forecasting ICML 2025 Embedding-Converter: A Unified Framework for Cross-Model Embedding Transformation ACL 2025 SQUARE: Unsupervised Retrieval Adaptation via Synthetic Data EMNLP 2025 FLAIRR-TS - Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series EMNLP 2025 From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation ICLR 2025 Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments ICLR 2025 BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval ICLR 2025 CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL ICLR 2025 Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training ICLR 2025 Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions EMNLP 2024 TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting ICLR 2024 Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning ICML 2024 Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts ICLR 2023