Papers Re-Ranking
“Re-Ranking” 태그가 달린 논문 743편 · 필터 해제
Selecting Query-bag as Pseudo Relevance Feedback for Information-seeking Conversations
Information-seeking dialogue systems are widely used in e-commerce systems, with answers that must be tailored to fit the specific settings of the online system. Given the user query, the information-seeking dialogue sys…
Contrastive LearningRe-RankingUnleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization
This paper investigates the effective utilization of unlabeled data for large-area cross-view geo-localization (CVGL), encompassing both unsupervised and semi-supervised settings. Common approaches to CVGL rely on ground…
geo-localizationRe-RankingUnifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture Environments
Perceptual aliasing and weak textures pose significant challenges to the task of place recognition, hindering the performance of Simultaneous Localization and Mapping (SLAM) systems. This paper presents a novel model, ca…
Re-RankingSimultaneous Localization and MappingA Thorough Comparison of Cross-Encoders and LLMs for Reranking SPLADE
We present a comparative study between cross-encoder and LLMs rerankers in the context of re-ranking effective SPLADE retrievers. We conduct a large evaluation on TREC Deep Learning datasets and out-of-domain datasets su…
RerankingRe-RankingEasy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
Current AI alignment methodologies rely on human-provided demonstrations or judgments, and the learned capabilities of AI systems would be upper-bounded by human capabilities as a result. This raises a challenging resear…
MathReinforcement Learning (RL)RerankingRe-RankingILCiteR: Evidence-grounded Interpretable Local Citation Recommendation
Existing Machine Learning approaches for local citation recommendation directly map or translate a query, which is typically a claim or an entity mention, to citation-worthy research papers. Within such a formulation, it…
Citation RecommendationRe-RankingBifurcated Attention: Accelerating Massively Parallel Decoding with Shared Prefixes in LLMs
This study introduces bifurcated attention, a method designed to enhance language model inference in shared-context batch decoding scenarios. Our approach addresses the challenge of redundant memory IO costs, a critical …
8kAnswer GenerationLanguage ModelingLanguage Modelling+1KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
Large language models (LLMs) have demonstrated impressive generative capabilities with the potential to innovate in medicine. However, the application of LLMs in real clinical settings remains challenging due to the lack…
Knowledge GraphsLong Form Question AnsweringQuestion AnsweringRe-RankingFederated Recommendation via Hybrid Retrieval Augmented Generation
Federated Recommendation (FR) emerges as a novel paradigm that enables privacy-preserving recommendations. However, traditional FR systems usually represent users/items with discrete identities (IDs), suffering from perf…
HallucinationPrivacy PreservingRAGRe-Ranking+2Large Language Models are In-Context Molecule Learners
Large Language Models (LLMs) have demonstrated exceptional performance in biochemical tasks, especially the molecule caption translation task, which aims to bridge the gap between molecules and natural language texts. Ho…
Cross-Modal RetrievalIn-Context LearningRe-RankingRetrieval+1YYDS: Visible-Infrared Person Re-Identification with Coarse Descriptions
Visible-infrared person re-identification (VI-ReID) is challenging due to considerable cross-modality discrepancies. Existing works mainly focus on learning modality-invariant features while suppressing modality-specific…
Person Re-IdentificationRe-RankingAligning GPTRec with Beyond-Accuracy Goals with Reinforcement Learning
Adaptations of Transformer models, such as BERT4Rec and SASRec, achieve state-of-the-art performance in the sequential recommendation task according to accuracy-based metrics, such as NDCG. These models treat items as to…
DiversityRecommendation Systemsreinforcement-learningReinforcement Learning+2Backtracing: Retrieving the Cause of the Query
Many online content portals allow users to ask questions to supplement their understanding (e.g., of lectures). While information retrieval (IR) systems may provide answers for such user queries, they do not directly ass…
Information RetrievalLanguage ModelingLanguage ModellingRe-Ranking+1RECOST: External Knowledge Guided Data-efficient Instruction Tuning
In the current landscape of large language models (LLMs), the process of instruction tuning serves as an essential step. Considering the high computing power overhead, data-efficient instruction tuning was proposed to re…
DiversityRe-RankingDeep Homography Estimation for Visual Place Recognition
Visual place recognition (VPR) is a fundamental task for many applications such as robot localization and augmented reality. Recently, the hierarchical VPR methods have received considerable attention due to the trade-of…
Homography EstimationRe-RankingVisual Place RecognitionCFIR: Fast and Effective Long-Text To Image Retrieval for Large Corpora
Text-to-image retrieval aims to find the relevant images based on a text query, which is important in various use-cases, such as digital libraries, e-commerce, and multimedia databases. Although Multimodal Large Language…
Computational EfficiencyImage RetrievalRe-RankingRetrievalTowards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
Recent studies show that vision models pre-trained in generic visual learning tasks with large-scale data can provide useful feature representations for a wide range of visual perception problems. However, few attempts h…
Re-RankingVisual Place RecognitionLeveraging Translation For Optimal Recall: Tailoring LLM Personalization With User Profiles
This paper explores a novel technique for improving recall in cross-language information retrieval (CLIR) systems using iterative query refinement grounded in the user's lexical-semantic space. The proposed methodology c…
Information RetrievalRe-RankingRetrievalTranslationLeveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation
Online dating platforms have gained widespread popularity as a means for individuals to seek potential romantic relationships. While recommender systems have been designed to improve the user experience in dating platfor…
FairnessRecommendation SystemsRe-RankingWhen is Tree Search Useful for LLM Planning? It Depends on the Discriminator
In this paper, we examine how large language models (LLMs) solve multi-step problems under a language agent framework with three components: a generator, a discriminator, and a planning method. We investigate the practic…
Mathematical ReasoningRe-RankingSQL ParsingText to SQL+1