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Jingang Wang

Jingang Wang has 7 papers in our library, in 2022–2026, most of them on Language models & pretraining, Dialogue systems, Reasoning; often with Fei Sun, Xin Chen, Xueqi Cheng.

7 papers in our library · 2022–2026

OpenAlex · h-index 1 · 20 works · 1 citations OpenAlex, 2026-10-14

📄 7 works in our library · 🔗 Cited 124 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4391

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification (2022 · 362 citations)
    Prompt-tuning turns text classification into a masked language modeling task. A template wraps the input, and a verbalizer maps predicted words at the [MASK] position to class labels. Verbalizers are usually handcrafted with a single class-name word or learned from data. Hand-built ones cover too few words and carry…
  2. Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs (2025 · 12 citations)
    LLM error detectors often treat agreement across sampled answers as a sign of correctness. This paper identifies a blind spot in that assumption: self-consistent errors , where a model gives the same wrong answer, up to semantic equivalence, in its greedy output and in all stochastic samples. The authors define these…
  3. Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference (2025 · 9 citations)
    LLM-based chatbots often fall short on empathy and emotional support in multi-turn conversations, even when they are given commonsense knowledge.
  4. The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis (2026 · 6 citations)
    Reasoning LLMs often keep generating "thinking" tokens after they already have enough information to answer, which wastes compute and is known as overthinking.
  5. Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text (2026 · 4 citations)
    Training LLM agents for multi-turn tool use is limited by a shortage of realistic trajectories. Most existing synthesis methods start from a fixed API collection, so the data can only be as broad as that collection. The authors invert this approach. They argue that ordinary web text, such as how-to guides and…
  6. BaseCal: Unsupervised Confidence Calibration via Base Model Signals (2026 · 1 citation)
    Post-trained LLMs (PoLLMs), such as instruction-tuned or RLHF-aligned models, tend to be overconfident: they assign high probability even to wrong answers, which limits the usefulness of confidence for detecting hallucinations.
  7. MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks (2026)
    Conversational retrieval decides which evidence a RAG system can use, but its benchmarks have two kinds of flaws.

All works

8 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them.

  1. LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXuemiao Zhang et al.2026

 Co-authors here

12 of 34 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 124 times (of the 149,439 papers whose bibliographies we read); 25 citing papers with a page here →.

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