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20232026
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cs.CL2026

OnePred: Next-Query Prediction via Recursive Intent Memory in Multi-Turn Conversations

Jiangwang Chen, Bowen Zhang, Zixin Song +4

Although large language model (LLM) conversational systems process millions of multi-turn dialogues daily, they remain fundamentally reactive: they respond only after the user type…

cs.CL2025

PoLi-RL: A Point-to-List Reinforcement Learning Framework for Conditional Semantic Textual Similarity

Zixin Song, Bowen Zhang, Qian-Wen Zhang +3

Conditional Semantic Textual Similarity (C-STS) measures the semantic proximity between text segments under a specific condition, thereby overcoming the ambiguity inherent in tradi…

cs.CL2025

CoDiEmb: A Collaborative yet Distinct Framework for Unified Representation Learning in Information Retrieval and Semantic Textual Similarity

Bowen Zhang, Zixin Song, Chunquan Chen +3

Learning unified text embeddings that excel across diverse downstream tasks is a central goal in representation learning, yet negative transfer remains a persistent obstacle. This…

cs.CL2025

CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass

Bowen Zhang, Zixin Song, Chunping Li

As a fundamental task in Information Retrieval and Computational Linguistics, sentence representation has profound implications for a wide range of practical applications such as t…

cs.CL2024

Pcc-tuning: Breaking the Contrastive Learning Ceiling in Semantic Textual Similarity

Bowen Zhang, Chunping Li

Semantic Textual Similarity (STS) constitutes a critical research direction in computational linguistics and serves as a key indicator of the encoding capabilities of embedding mod…

cs.CL2024

Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss

Bowen Zhang, Chunping Li

Since the introduction of BERT and RoBERTa, research on Semantic Textual Similarity (STS) has made groundbreaking progress. Particularly, the adoption of contrastive learning has s…