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20212026
most citedChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations

30 citations · 108 across the 57 of their papers we have counts for

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Showing 2025 · cs.CLShow all

7 papers · 2 filters

cs.CL2025

WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models

Rui Wang, Ce Zhang, Jun-Yu Ma +10

The hallmark of Deep Research agents lies in compositional reasoning, the capacity to aggregate distributed, heterogeneous information into coherent logical insights. However, curr…

cs.CL2025

UniGist: Towards General and Hardware-aligned Sequence-level Long Context Compression

Chenlong Deng, Zhisong Zhang, Kelong Mao +6

Large language models are increasingly capable of handling long-context inputs, but the memory overhead of key-value (KV) cache remains a major bottleneck for general-purpose deplo…

cs.CL2025

Recall with Reasoning: Chain-of-Thought Distillation for Mamba's Long-Context Memory and Extrapolation

Junyu Ma, Tianqing Fang, Zhisong Zhang +3

Mamba's theoretical infinite-context potential is limited in practice when sequences far exceed training lengths. This work explores unlocking Mamba's long-context memory ability b…

cs.CL2025

InComeS: Integrating Compression and Selection Mechanisms into LLMs for Efficient Model Editing

Shuaiyi Li, Zhisong Zhang, Yang Deng +6

Although existing model editing methods perform well in recalling exact edit facts, they often struggle in complex scenarios that require deeper semantic understanding rather than…

cs.CL2025

WebCoT: Enhancing Web Agent Reasoning by Reconstructing Chain-of-Thought in Reflection, Branching, and Rollback

Minda Hu, Tianqing Fang, Jianshu Zhang +7

Web agents powered by Large Language Models (LLMs) show promise for next-generation AI, but their limited reasoning in uncertain, dynamic web environments hinders robust deployment…

cs.CL2025

WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model

Tianqing Fang, Hongming Zhang, Zhisong Zhang +4

Agent self-improvement, where the backbone Large Language Model (LLM) of the agent are trained on trajectories sampled autonomously based on their own policies, has emerged as a pr…

cs.CL2025

WebRollback: Enhancing Web Agents with Explicit Rollback Mechanisms

Zhisong Zhang, Tianqing Fang, Kaixin Ma +4

With recent advancements in large language models, web agents have been greatly improved. However, dealing with complex and dynamic web environments requires more advanced planning…